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Proceedings
ICMLA
ICMLA 2008
Generate Citations
2008 Seventh International Conference on Machine Learning and Applications
Dec. 11 2008 to Dec. 13 2008
San Diego, CA
Table of Contents
Papers
[Copyright notice]
Freely available from IEEE.
pp. iv
Papers
Table of contents
Freely available from IEEE.
pp. v-xv
Papers
Title Page i
Freely available from IEEE.
pp. i
Papers
Title Page iii
Freely available from IEEE.
pp. iii
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Preface
Freely available from IEEE.
pp. xvi
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Conference Committees
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pp. xvii-xviii
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International Program Committee
Freely available from IEEE.
pp. xix-xxiv
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ICMLA 2008 Invited Speakers
Freely available from IEEE.
pp. xxv-xxviii
by
Dan Roth
,
Jude Shavlik
,
Michael I. Jordan
,
Bin Yu
,
Andrew Moore
,
Philip Bourne
Papers
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
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pp. 3-9
by
Silvia Chiappa
Papers
Prioritizing Health Promotion Plans with k-Bayesian Network Classifier
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pp. 10-15
by
Ken Ueno
,
Toshio Hayashi
,
Koichiro Iwata
,
Nobuyoshi Honda
,
Youichi Kitahara
,
Topon Kumar Paul
Papers
Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition
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pp. 16-22
by
Lifeng Shang
,
Kwok-Ping Chan
Papers
A Bayesian Learning Automaton for Solving Two-Armed Bernoulli Bandit Problems
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pp. 23-30
by
Ole-Christoffer Granmo
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Combining Dissimilarities in a Hyper Reproducing Kernel Hilbert Space for Complex Human Cancer Prediction
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pp. 33-39
by
Blanco
,
Manuel Martin-Meríno
,
Javier De Las Rivas
Papers
Making the Lipschitz Classifier Practical via Semi-infinite Programming
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pp. 40-47
by
André Stuhlsatz
,
Hans-Günter Meier
,
Andreas Wendemuth
Papers
A Supervised Decision Rule for Multiclass Problems Minimizing a Loss Function
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pp. 48-53
by
Nisrine Jrad
,
Edith Grall-Maës
,
Pierre Beauseroy
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Selecting Examples in Manifold Reduced Feature Space for Active Learning
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pp. 54-59
by
C. Silva
,
B. Ribeiro
Papers
Network-Constrained Support Vector Machine for Classification
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pp. 60-65
by
Li Chen
,
Jianhua Xuan
,
Yue Wang
,
Rebecca B. Riggins
,
Robert Clarke
Papers
Learning-Based Fusion for Data Deduplication
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pp. 66-71
by
Jared Dinerstein
,
Sabra Dinerstein
,
Parris K. Egbert
,
Stephen W. Clyde
Papers
Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture
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pp. 75-82
by
Sertan Girgin
,
Philippe Preux
Papers
A Predictive Model for Imitation Learning in Partially Observable Environments
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pp. 83-90
by
Abdeslam Boularias
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Classifier-Based Policy Representation
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pp. 91-98
by
Ioannis Rexakis
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Michail G. Lagoudakis
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Prediction-Directed Compression of POMDPs
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pp. 99-105
by
Abdeslam Boularias
,
Masoumeh Izadi
,
Brahim Chaib-draa
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Empirical Comparison of Greedy Strategies for Learning Markov Networks of Treewidth k
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pp. 106-111
by
K. Nunez
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J. Chen
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P. Chen
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G. Ding
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R. F. Lax
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B. Marx
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A Greedy Approach for Building Classification Cascades
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pp. 115-120
by
Sherif Abdelazeem
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Calibrating Random Forests
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pp. 121-126
by
Henrik Boström
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On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
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pp. 127-132
by
Tuve L
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Ulf Johansson
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Henrik Bostr
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New Insights into Learning Algorithms and Datasets
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pp. 135-140
by
Jun won Lee
,
Christophe Giraud-Carrier
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Learning Analysis by Reduction from Positive Data Using Reverible Languages
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pp. 141-146
by
Petr Hoffmann
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Simultaneously Removing Noise and Selecting Relevant Features for High Dimensional Noisy Data
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pp. 147-152
by
Boseon Byeon
,
Khaled Rasheed
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Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data
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pp. 153-158
by
Andres Folleco
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Taghi M. Khoshgoftaar
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Amri Napolitano
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Improving Kernel Density Classifier Using Corrective Bandwidth Learning with Smooth Error Loss Function
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pp. 161-167
by
Dwi Sianto Mansjur
,
Biing Hwang Juang
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An Investigation of Non-Uniform Error Cost Function Design in Automatic Speech Recognition
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pp. 168-173
by
Qiang Fu
,
Biing-Hwang Juang
Papers
Boundary Constrained Manifold Unfolding
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pp. 174-181
by
Liu Bo
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Zhang Hongbin
,
Chen Wenan
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Target Selection: A New Learning Paradigm and Its Application to Genetic Association Studies
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pp. 182-187
by
Johannes Mohr
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Sambu Seo
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Imke Puls
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Andreas Heinz
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Klaus Obermayer
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Regularized Minimum Volume Ellipsoid Metric for Query-Based Learning
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pp. 188-193
by
Karim Abou-Moustafa
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Frank P. Ferrie
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Graph-Based Multilevel Dimensionality Reduction with Applications to Eigenfaces and Latent Semantic Indexing
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pp. 194-200
by
Sophia Sakellaridi
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Haw-ren Fang
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Yousef Saad
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Model Based Unsupervised Learning Guided by Abundant Background Samples
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pp. 203-210
by
Rami N. Mahdi
,
Eric C. Rouchka
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Chi-Sim: A New Similarity Measure for the Co-clustering Task
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pp. 211-217
by
Gilles Bisson
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Fawad Hussain
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Relational Analysis for Consensus Clustering from Multiple Partitions
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pp. 218-223
by
Mustapha Lebbah
,
Younès Bennani
,
Hamid Benhadda
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Probabilistic Mixed Topological Map for Categorical and Continuous Data
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pp. 224-231
by
Nicoleta Rogovschi
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Mustapha Lebbah
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Younès Bennani
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Farthest Centroids Divisive Clustering
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pp. 232-238
by
Haw-ren Fang
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Yousef Saad
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Are Neural Fields Suitable for Vector Quantization?
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pp. 239-244
by
Lucian Alecu
,
Hervé Frezza-Buet
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Image Segmentation as Learning on Hypergraphs
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pp. 247-252
by
Lei Ding
,
Alper Yilmaz
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Autonomous Detector Using Saliency Map Model and Modified Mean-Shift Tracking for a Blind Spot Monitor in a Car
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pp. 253-258
by
Sungmoon Jeong
,
Sang-Woo Ban
,
Minho Lee
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Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
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pp. 259-266
by
Volker Willert
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Julian Eggert
,
Marc Toussaint
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Edgar Körner
Papers
Video Shot Segmentation Using Late Fusion Technique
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pp. 267-270
by
C. Krishna Mohan
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N. Dhananjaya
,
B. Yegnanarayana
Papers
Detection of Unnatural Movement Using Epitomic Analysis
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pp. 271-276
by
Wooyoung Kim
,
James M. Rehg
Papers
Comparison with Parametric Optimization in Credit Card Fraud Detection
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pp. 279-285
by
Manoel Fernando Alonso Gadi
,
Xidi Wang
,
Alair Pereira do Lago
Papers
A Study of GP's Division Operators for Symbolic Regression
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pp. 286-291
by
Matej Šprogar
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Adaptively Evolving Probabilities of Genetic Operators
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pp. 292-299
by
Fatemeh Vafaee
,
Weimin Xiao
,
Peter C. Nelson
,
Chi Zhou
Papers
Scalable Patch Management Using Evolutionary Analysis of Attack Graphs
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pp. 300-307
by
Melissa Danforth
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Combining the Wavelet Transform and Forecasting Models to Predict Gas Forward Prices
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pp. 311-317
by
Hang T. Nguyen
,
Ian T. Nabney
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Improving Accuracy in the Montgomery County Corrections Program Using Case-Based Reasoning
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pp. 318-323
by
Caio Soares
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Christin Hamilton
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Lacey Montgomery
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Juan E. Gilbert
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Extraction of Failure Graphs from Structured and Unstructured Data
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pp. 324-330
by
Martin Schierle
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Daniel Trabold
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Adaptive Localization through Transfer Learning in Indoor Wi-Fi Environment
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pp. 331-336
by
Zhuo Sun
,
Yiqiang Chen
,
Juan Qi
,
Junfa Liu
Papers
Does Wikipedia Information Help Netflix Predictions?
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pp. 337-343
by
John Lees-Miller
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Fraser Anderson
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Bret Hoehn
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Russell Greiner
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Boltzmann Machine Topology Learning for Distributed Sensor Networks Using Loopy Belief Propagation Inference
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pp. 344-349
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C. Picus
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L. Cambrini
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W. Herzner
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Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
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pp. 350-355
by
Haimonti Dutta
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Ananda Matthur
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Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
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pp. 356-361
by
Erdal Kayacan
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Yesim Oniz
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Okyay Kaynak
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Andon V. Topalov
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A Fully Automatic Crossword Generator
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pp. 362-367
by
Leonardo Rigutini
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Michelangelo Diligenti
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Marco Maggini
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Marco Gori
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CoReJava: Learning Functions Expressed as Object-Oriented Programs
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pp. 368-375
by
Alexander Brodsky
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Juan Luo
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Hadon Nash
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Speaker Siglet Detection for Business Microscope
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pp. 376-381
by
Jun Nishimura
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Nobuo Sato
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Tadahiro Kuroda
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Automated Analysis for Detecting Beams in Laser Wakefield Simulations
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pp. 382-387
by
Daniela M. Ushizima
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Oliver Rübel
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Prabhat
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Gunther H. Weber
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E. Wes Bethel
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Cecilia R. Aragon
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Cameron G. R. Geddes
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Estelle Cormier-Michel
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Bernd Hamann
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Peter Messmer
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Hans Hagen
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Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data
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pp. 388-395
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Joshua M. Lewis
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Pincelli M. Hull
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Kilian Q. Weinberger
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Lawrence K. Saul
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Distributed Planning in Stochastic Games with Communication
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pp. 396-401
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Andriy Burkov
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Brahim Chaib-draa
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Multi-stage Learning of Linear Algebra Algorithms
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pp. 402-407
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Victor Eijkhout
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Erika Fuentes
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Optimization on a Novel Quantum Greedy Approach Based on Learning Strategy for Zero and One Knapsack Problem and Evaluation
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pp. 408-414
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Mir Shahriar Emami
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Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis
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pp. 415-420
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Etienne Côme
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Zohra Leila Cherfi
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Latifa Oukhellou
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Patrice Aknin
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Estimation of Gaussian Mixtures from Moments
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pp. 421-425
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John Byrnes
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Force Feature Spaces for Visualization and Classification
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pp. 426-433
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Dragana Veljkovic
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Kay A. Robbins
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Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind Flow
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pp. 437-443
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Thomas Lochmatter
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Alcherio Martinoli
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Integration of Chemical and Visual Sensors for Identifying an Odor Source in Near Shore Ocean Conditions
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pp. 444-449
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W. Li
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J. Sutton
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Y. Li
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Extraction of Meaningful Rules in a Medical Database
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pp. 450-456
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Sang C. Suh
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Sam Saffer
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Naveen Kumar Adla
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Dimension Reduction via Unsupervised Learning Yields Significant Computational Improvements for Support Vector Machine Based Protein Family Classification
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pp. 457-462
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Bobbie-Jo M. Webb-Robertson
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Melissa M. Matzke
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Christopher S. Oehmen
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A Qualia Framework for Ladar 3D Object Classification
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pp. 463-469
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Matthew D. Eyster
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Michael J. Mendenhall
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Steven K. Rogers
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Development of CPT_M3D for Multiple Chemical Plume Tracing and Source Identification
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pp. 470-475
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J. Sutton
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W. Li
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Active Stereo Olfactory Sensing System for Localization of Gas/Odor Source
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pp. 476-481
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Atsushi Kohnotoh
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Hiroshi Ishida
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Crayfish Robot Employing Flow Induced by Waving to Locate a Chemical Source
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pp. 482-488
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Mari Ohashi
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Yuichi Minagawa
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Yuki Myoren
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Hiroshi Ishida
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Toward Chemical-Trail Following Robots
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pp. 489-494
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Pedro Sousa
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Lino Marques
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An de Almeida
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Assessing Torso Deformity in Scoliosis Using Self-Organizing Neural Networks (SNN)
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pp. 497-502
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Philip Igwe
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Mahdieh Emrani
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Samer Adeeb
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Automated Microarray Classification Based on P-SVM Gene Selection
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pp. 503-507
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Johannes Mohr
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Sambu Seo
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Klaus Obermayer
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Automating Microarray Classification Using General Regression Neural Networks
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pp. 508-513
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Caio Soares
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Lacey Montgomery
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Kenneth Rouse
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Juan E. Gilbert
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Incremental Hybrid Approach for Microarray Classification
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pp. 514-520
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M. Arif Wani
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Segmentation of Lesions with Improved Specificity in Computer-Aided Diagnosis Using a Massive-Training Artificial Neural Network (MTANN)
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pp. 523-527
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Kenji Suzuki
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Using Neural Networks to Predict Breathing Motion
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pp. 528-532
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Martin J. Murphy
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Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
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pp. 533-538
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Tong Lin
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Laura Cervino
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Xiaoli Tang
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Nuno Vasconcelos
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Steve B. Jiang
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Nonlinear Kernel-Based Approaches for Predicting Normal Tissue Toxicities
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pp. 539-544
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Issam El Naqa
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Jeffrey D. Bradley
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Joseph O. Deasy
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Decision Fusion of Machine Learning Models to Predict Radiotherapy-Induced Lung Pneumonitis
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pp. 545-550
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Shiva K. Das
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Shifeng Chen
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Joseph O. Deasy
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Sumin Zhou
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Lawrence B. Marks
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Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy
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pp. 551-555
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Xiaoli Tang
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Tong Lin
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Steve Jiang
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Comprehensible Models for Predicting Molecular Interaction with Heart-Regulating Genes
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pp. 559-564
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Cecilia Sönströd
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Ulf Johansson
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Ulf Norinder
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Henrik Boström
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RNA Search Acceleration with Genetic Algorithm Generated Decision Trees
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pp. 565-570
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Scott F. Smith
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Detection of Sequential Outliers Using a Variable Length Markov Model
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pp. 571-576
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C Low-Kam
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Anne Laurent
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Maguelonne Teisseire
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Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins
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pp. 577-582
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Theodoros Damoulas
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Yiming Ying
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Mark A. Girolami
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Colin Campbell
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Microarray Classification from Several Two-Gene Expression Comparisons
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pp. 583-585
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Donald German
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Bahman Afsari
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Aik Choon Tan
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Group Testing in the Development of an Expanded Cancer Staging System
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pp. 589-594
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Dechang Chen
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Kai Xing
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Donald Henson
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Li Sheng
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Clustering for DNA Microarray Data Analysis with a Graph Cut Based Algorithm
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pp. 595-598
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Jia Song
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Chunmei Liu
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Yinglei Song
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Junfeng Qu
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Detecting Disease Associated Genes and Gene-Gene Interactions with Penalized AUC Maximization
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Zhenqiu Liu
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External Validation of a Bayesian Neural Network Model in Survival Analysis
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pp. 607-612
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Azzam Taktak
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Antonio Eleuteri
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Min Aung
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Paulo Lisboa
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Laurence Desjardins
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Bertil Damato
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Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors
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pp. 613-618
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Paulo J. G. Lisboa
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Margarida Julià-Sapé
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Carles Arús
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A Comparison of Three Different Methods for Classification of Breast Cancer Data
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Daniele Soria
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Jonathan M. Garibaldi
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Elia Biganzoli
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Ian O. Ellis
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