December 13, 2007
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7:30 am 7:00pm |
Registration Location: Outside Salon A (second floor) |
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7:30am 8:25am |
Breakfast: Upgraded Continental Breakfast Location: Outside Salon A (second floor) |
8:25 to 8.30
Opening Session (Location: Salon A, second floor)
8.30 to 9.30
Invited Speaker: (Location: Salon A, second floor)
Dr. William Cohen, Carnegie Mellon University, USA
"Machine Learning for Information Management: Some Promising Directions"
9.30 to 9.45 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
9.45 to 10.45
Invited Speaker: (Location: Salon A, second floor)
Dr. Eric Xing, Carnegie Mellon University, USA
"Probabilistic Graphical Models --- theory, algorithm, and application"
10.45 to 11.00 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
11.00 to 12.40
Applications I: (Location: Salon A, second floor)
Session Chair: Guillaume Bouchard, Xerox
25 Soft Failure Detection using Factorial Hidden Markov Models
63 Evolutionary Sound Matching: A Test Methodology and Comparative Study
73 An Application of a Rule-Based Model in Software Quality Classification
84 Memory-Based Context-Sensitive Spelling Correction at Web Scale
92 Covariance Matrix Computations with Federated Databases
104 Recognition of Ultrasonic Multi-Echo Sequences for Autonomous Symbolic Indoor Tracking
Parallel session 1
Learning: (Location: Amphitheater II, first floor)
Session Chair: Gopalakrishna R Tadiparthi
3 An Agent Based System for California Electricity Market: A Perspective of Myopic Machine Learning
24 Learning Algorithms for Grammars of Variable Arity Trees
45 An Incremental Viterbi Algorithm
70 Phase Transition and Heuristic Search in Relational Learning
76 Learning Complex Problem Solving Expertise from Failures
98 Bias-Variance tradeoff in Hybrid Generative-Discriminative models
12.40 to 2.00 Lunch Break (of your own, restaurant on second floor)
2.00 to 3.40
Text and Multimedia Learning: (Location: Salon A, second floor)
Session Chair: Bernardete Ribeiro, University of Coimbra, Portugal
34 Combining Active Learning and Relevance Vector Machines for Text Classification
124 Efficient Label Propagation for Interactive Image Segmentation
125 An OCR-Independent Character Segmentation using Shortest-Path in Grayscale Document Images
150 Boosting Inductive Transfer for Text Classification using Wikipedia
166 Discover The Power of Social and Hidden Curriculum to Decision Making: Experiments with Enron Email and Movie Newsgroups
Parallel session 1
Data Mining: (Location: Amphitheater II, first floor)
Session Chair: Ying Liu, University of Texas at Dallas
64 An Efficient Constraint-based Closed Set Mining Algorithm
108 Rare Itemset Mining
137 Semantic Partition Based Association Rule Mining across Federated Databases using Abstraction
141 An itemset-driven cluster-oriented approach to extract compact and meaningful sets of association rules
147 Clustering Categorical Data Based on Maximal Frequent Itemsets
3.40 to 4.00 Coffee Break (Chef’s Choice of Afternoon Break With Hot Item,
coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
4.00 to 6.00
Support Vector Machines / Learning: (Location: Salon A, second floor)
Session Chair: Shawn Martin
Support Vector Machines:
58 Selecting Optimal Parameters in Support Vector Machines
142 Modifying Kernels Using Label Information Improves SVM Classification Performance
144 Evolving Kernel Functions for SVMs by Genetic Programming
149 Sparsity regularization path for Semi-Supervised SVM
Learning:
10 Predicting Building Contamination Using Machine Learning
155 Bootstrapping algorithms for an application in the automotive domain
Parallel Session 1
Evolutionary Methods / Classification: (Location: Amphitheater II, first floor)
Session Chair: Michiyuki Hirokane, Kansai University
Evolutionary Methods:
23 Improving Gene Expression Programming Performance by Using Differential Evolution
78 Extraction of Minimum Decision Algorithm Using Rough Sets
81 On the design of oscillatory recurrent neural network controllers with gradient based algorithms
90 Multi-stages Genetic Algorithms: Introducing Temporal Structures to Facilitate Selection of Optimal Evolutionary Paths
Classification:
120 Estimating Class Probabilities in Random Forests
146 Effect of Synaptic Weight Assignment on Spiking Neuron Response
6.00 to 6.20 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
6.20 to 7.30
Poster 1: (Location: Salon A, second floor)
Paper IDS : 8, 10, 23, 24, 25, 34, 38, 41, 50, 52, 56, 58, 59,
62, 64, 68, 70, 71, 73, 76, 78, 81, 82, 84, 89, 90, 92,
93, 98, 100, 101, 104,105, 108, 114, 117, 119, 120, 124, 125, 126, 132,
135, 137, 141, 142, 144, 146, 147, 149
Parallel session 1
Poster 2: (Location: Amphitheater II, first floor)
Paper IDs: 150, 151, 155,
157, 158, 161, 166, 169, 170, 171, 31, 91, 63, 172,173,175,
35, 44, 53, 69, 74, 9, 15, 16, 65, 75, 79, 127, 140, 164,
179, 183, 184, 185, 186, 187, 188, 189, 190, 192
December 14, 2007
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7:30 am 6:00 pm |
Registration Location: Outside Salon A (second floor) |
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7:30am 8:30 am |
Breakfast Upgraded Continental Breakfast Location: Outside Salon A (second floor) |
8.30 to 9.30
Invited Speaker: (Location: Salon A, second floor)
Professor Pierre Baldi, University of California Irvine, USA
"Machine Learning Challenges in Chemoinformatics and Drug Screening and Design"
9.30 to 9.45 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
9.45 to 10.45
Invited Speaker: (Location: Salon A, second floor)
Professor Shamkant B. Navathe, Georgia Institute Of Technology, USA
"Text Mining and Ontology Applications in Bioinformatics and GIS"
10.45 to 11.00 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
11.20 to 12.40
Regression/Prediction: (Location: Salon A, second floor)
Session Chair: Ciprian Daniel Neagu, University of Bradford
6 A Comparison of Two Algorithms for Predicting the Condition Number
101 A Spline Based Regression Technique on Interval Valued Noisy Data
132 A New Time Series Prediction Algorithm based on Moving Average of nth-order Difference
157 Machine learned regression for abductive DNA sequencing
158 Automatic Medical Coding of Patient Records via Weighted Ridge Regression
171 Constructive Neural Network Ensemble for Regression Tasks in High Dimensional Spaces
Parallel Session 1
Dimensionality Reduction / Machine Learning in Web Based Real-Time Applications: (Location: Amphitheater II, first floor)
Session Chair: Yiming Wu
Dimensionality Reduction :
31 Dimensionality Reduction for Active Learning with Nearest Neighbour Classifier in Text Categorisation Problems
91 Scalable Optimal Linear Representation for Face and Object Recognition
Machine Learning in Web Based Real-Time Applications:
172 Web-based Maze Robot Learning using Fuzzy Motion Control System
173 Web based Machine Learning for Language Identification and
175 A Web Based Adaptive Educational System
12.40 to 2.00 Lunch Break (of your own, restaurant on second floor)
2.00 to 3.40
Machine Learning Applications in Bioinformatics: (Location: Salon A, second floor)
Session Chair: Glenn Fung
35 Predicting Binding Sites in the Mouse Genome
44 Reducing a Biomarkers list via Mathematical Programming: Application to Gene Signatures to detect time-dependent Hypoxia in Cancer
53 Polynomial and RBF Kernels as Marker Selection Tools-A Breast Cancer Case Study
69 Statistical and biological validation methods in cluster analysis of gene expression
74 Support Vector Machine Classification of Probability Models and Peptide Features for Improved Peptide Identification from Shotgun Proteomics
164 Identifying Functional Binding Motifs of Tumor Protein p53 Using Support Vector Machines
Parallel Session 1
Workshop Session: Machine Learning Applications in Biomedicine: (Location: Amphitheater II, first floor)
Session Chair: Dechang Chen
9 Use of Neural Networks to Predict Adverse Outcomes from Acute Coronary Syndrome for Male and Female Patients
62 The Natural Induction System AQ21 and Its Application to Data Describing Patients with Metabolic Syndrome: Initial Results
183 Understanding Challenges in Preserving and Reconstructing Computer-Assisted Medical Decision Processes
190 A Statistical Algorithm to Discover Knowledge in Medical Data Sources
192 A Clustering-Based Approach to Predict Outcome in Cancer Patients
3.40 to 4.00 Coffee Break (Chef’s Choice of Afternoon Break With Hot Item,
coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
4.00 to 6.00
Reinforcement Learning/ Learning from Imbalanced Data/ Bayesian Networks: (Location: Salon A, second floor)
Session Chair: M. Arif Wani, California State University
38 Supervised Reinforcement Learning Using Behavior Models
50 Performance Evaluation of EANT in the RoboCup Keepaway Benchmark
52 Learning with Limited Minority Class Data
59 Combining Multi-distributed Mixture Models and Bayesian Networks for Semi-Supervised Learning
100 Using Evolutionary Sampling to Mine Imbalanced Data
186 A Semi-Supervised Active Learning Approach for Modeling Medical Concepts from Free Text
Parallel Session 1
Induction/ Model Selection / Evaluation
Session Chair: Bobbie-Jo M. Webb-Robertson, Pacific Northwest National Laboratory: (Location: Amphitheater II, first floor)
8 Model Evaluation for Prognostics: Estimating Cost Saving for the End Users
41 Rule Refinement with Extended Data Expression
56 A Simultaneous Two-Level Clustering Algorithm for Automatic Model Selection
71 LEONARDO – The Model Selection Wizard
151 Learning to Evaluate Conditional Partial Plans
6.00 to 6.20 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
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7:00 pm 9:00 pm |
Conference Dinner and Best Paper Awards Location: Salon A (second floor) |
December 15, 2007
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7:30 am 4:00 pm |
Registration Location: Outside Salon A (second floor) |
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7:30am 8:30 am |
Breakfast Upgraded Continental Breakfast Location: Outside Salon A (second floor) |
8.30 to 9.30
Invited Speaker: (Location: Salon A, second floor)
Professor Jacek M. Zurada, University of Louisville, USA
"Neural Networks with Complex-valued Neurons for Recurrent and Feedforward Architectures"
9.30 to 9.45 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
9.45 to 10.45
Invited Speaker: (Location: Salon A, second floor)
Dr. Brendan J. Frey, University of Toronto, Canada
"The embattled affinity propagation algorithm and its applications in biomedicine and bioinformatics "
"Brief paper (Science 2007) describing affinity propagation"
10.45 to 11.00 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
11.00 to 12.40
Unsupervised Learning: (Location: Salon A, second floor)
Session Chair: Thomas Villmann, University Leipzig
93 Co-Clustering by Similarity Refinement
105 2IBGSOM: Interior and Irregular Boundaries Growing Self-Organising Maps
113 Modeling spatial-temporal epidemics using STBL model
135 Comparison of Semantic and Single Term Similarity Measures for Clustering Turkish Documents
169 Personalized Music Recommendation System Using Improved K-means Clustering Algorithm
Parallel Session 1
Workshop Session: Machine Learning Applications in Genomics: (Location: Amphitheater II, first floor)
Session Chair: Mark Kon
65 Maximum Likelihood Quantization of Genomic Features using Dynamic Programming
179 CLASSEQ: Classification of Sequences via Comparative Analysis of Multiple Genomes
184 Biomarker Identification by Knowledge-Driven Multi-Level ICA and Motif Analysis
185 Generalized Sequence Signatures through Symbolic Clustering
189 SVMotif: A Machine Learning Motif Algorithm
12.40 to 2.00 Lunch Break (of your own, restaurant on second floor)
2.00 to 3.40
Feature Extraction and Selection / Ensemble Learning: (Location: Salon A, second floor)
Session Chair: Evangelos Yfantis, University of Nevada, Las Vegas
82 Tracking Recurrent Concept Drift in Streaming Data Using Ensemble Classifiers
89 Feature Extraction Using Random Matrix Theory Approach
114 Toward Optimal Selection of Feature Clusters
126 A Hierarchical Feature Decomposition Clustering Algorithm for Unsupervised Classification of Document Image Types
170 Enhanced Recursive Feature Elimination
Parallel Session 1
Applications II
Session Chair: Claire L. McCullough, University of Tennessee at Chattanooga: (Location: Amphitheater II, first floor)
68 Learning a Knowledge Base of Ontological Concepts for High-Level Scene Interpretation
117 Uncertainty Optimization for Robust Dynamic Optical Flow Estimation
119 Direct calculation of predictions for K29/K29*
138 Control of a Re-entrant Line Manufacturing Model with a Reinforcement Learning Approach
161 Learning: An Effective Approach in Endgame Chess Board Evaluation
3.40 to 4.00 Coffee Break (Chef’s Choice of Afternoon Break With Hot Item,
coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
4.00 to 4.40
Invited Speaker: (Location: Salon A, second floor)
Dr. Bernd Wachmann, Siemens Corporate Research, NJ, USA
"Technologies and Solutions for Trend Detection in Public Literature for Biomarker Discovery"
4.40 to 5.00 Coffee Break (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)
5.00 to 6.20
Workshop Session: Machine Learning Applications in Proteomics: (Location: Salon A, second floor)
Session Chair: Thomas Villmann
16 Associative learning in SOMs for Fuzzy-Classification
75 SEBINI-CABIN: an analysis pipeline for biological network inference, with a case study in protein-protein interaction network reconstruction
79 Alignment of Multiple Proteins with An Ensemble of Hidden Markov Models
127 Reconstructing Context-Dependent Signal Pathways using Bayesian Networks
Parallel Session 1
Workshop Session: Machine Learning Applications in Transcriptomics: (Location: Amphitheater II, first floor)
Session Chair: Bernd Wachmann
15 Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge
140 Normalized Linear Transform for Cross-platform Microarray Data Integration
187 Logistic Ensembles for Principal Direction and Random Spherical Linear Oracles
188 Cox's Proportional Hazards Model with Lp Penalty for Biomarker Identification and Survival Prediction
6.20
Conference Close (coffee/tea/soft drink/juices. Location: Outside Salon A, second floor)