Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I

Front Matter....Pages -
Industrializing Data Mining, Challenges and Perspectives....Pages 1-1
From Microscopy Images to Models of Cellular Processes....Pages 2-2
Data Clustering: 50 Years Beyond K-means....Pages 3-4
Learning Language from Its Perceptual Context....Pages 5-5
The Role of Hierarchies in Exploratory Data Mining....Pages 6-6
Rollout Sampling Approximate Policy Iteration....Pages 7-7
New Closed-Form Bounds on the Partition Function....Pages 8-8
Large Margin vs. Large Volume in Transductive Learning....Pages 9-10
Incremental Exemplar Learning Schemes for Classification on Embedded Devices....Pages 11-11
A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity....Pages 12-12
A Critical Analysis of Variants of the AUC....Pages 13-13
Improving Maximum Margin Matrix Factorization....Pages 14-14
Finding Reliable Subgraphs from Large Probabilistic Graphs....Pages 15-15
A Space Efficient Solution to the Frequent String Mining Problem for Many Databases....Pages 16-16
The Boolean Column and Column-Row Matrix Decompositions....Pages 17-17
SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs....Pages 18-18
Mining Conjunctive Sequential Patterns....Pages 19-19
Adequate Condensed Representations of Patterns....Pages 20-21
Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data....Pages 22-22
 TOPTMH : Topology Predictor for Transmembrane α -Helices....Pages 23-38
Learning to Predict One or More Ranks in Ordinal Regression Tasks....Pages 39-54
Cascade RSVM in Peer-to-Peer Networks....Pages 55-70
An Algorithm for Transfer Learning in a Heterogeneous Environment....Pages 71-85
Minimum-Size Bases of Association Rules....Pages 86-101
Combining Classifiers through Triplet-Based Belief Functions....Pages 102-116
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis....Pages 117-132
Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis....Pages 133-145
Sequence Labelling SVMs Trained in One Pass....Pages 146-161
Semi-supervised Classification from Discriminative Random Walks....Pages 162-177
Learning Bidirectional Similarity for Collaborative Filtering....Pages 178-194
Bootstrapping Information Extraction from Semi-structured Web Pages....Pages 195-210
Online Multiagent Learning against Memory Bounded Adversaries....Pages 211-226
Scalable Feature Selection for Multi-class Problems....Pages 227-240
Learning Decision Trees for Unbalanced Data....Pages 241-256
Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities....Pages 257-271
A Fast Method for Training Linear SVM in the Primal....Pages 272-287
On the Equivalence of the SMO and MDM Algorithms for SVM Training....Pages 288-300
Nearest Neighbour Classification with Monotonicity Constraints....Pages 301-316
Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer....Pages 317-332
Mining Edge-Weighted Call Graphs to Localise Software Bugs....Pages 333-348
Hierarchical Distance-Based Conceptual Clustering....Pages 349-364
Mining Frequent Connected Subgraphs Reducing the Number of Candidates....Pages 365-376
Unsupervised Riemannian Clustering of Probability Density Functions....Pages 377-392
Online Manifold Regularization: A New Learning Setting and Empirical Study....Pages 393-407
A Fast Algorithm to Find Overlapping Communities in Networks....Pages 408-423
A Case Study in Sequential Pattern Mining for IT-Operational Risk....Pages 424-439
Tight Optimistic Estimates for Fast Subgroup Discovery....Pages 440-456
Watch, Listen & Learn: Co-training on Captioned Images and Videos....Pages 457-472
Parameter Learning in Probabilistic Databases: A Least Squares Approach....Pages 473-488
Improving k -Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics....Pages 489-504
One-Class Classification by Combining Density and Class Probability Estimation....Pages 505-519
Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth....Pages 520-535
Proper Model Selection with Significance Test....Pages 536-547
A Projection-Based Framework for Classifier Performance Evaluation....Pages 548-563
Distortion-Free Nonlinear Dimensionality Reduction....Pages 564-579
Learning with L q < 1 vs L 1 -Norm Regularisation with Exponentially Many Irrelevant Features....Pages 580-596
Catenary Support Vector Machines....Pages 597-610
Exact and Approximate Inference for Annotating Graphs with Structural SVMs....Pages 611-623
Extracting Semantic Networks from Text Via Relational Clustering....Pages 624-639
Ranking the Uniformity of Interval Pairs....Pages 640-655
Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs....Pages 656-671
 StreamKrimp : Detecting Change in Data Streams....Pages 672-687
Back Matter....Pages -