Machine learning : ECML 2007 : 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007 : proceedings

Table of Contents

1. Altmetric Badge
   Book Overview
2. Altmetric Badge
   Chapter 1 Learning, Information Extraction and the Web
3. Altmetric Badge
   Chapter 2 Putting Things in Order: On the Fundamental Role of Ranking in Classification and Probability Estimation
4. Altmetric Badge
   Chapter 3 Mining Queries
5. Altmetric Badge
   Chapter 4 Adventures in Personalized Information Access
6. Altmetric Badge
   Chapter 5 Statistical Debugging Using Latent Topic Models
7. Altmetric Badge
   Chapter 6 Learning Balls of Strings with Correction Queries
8. Altmetric Badge
   Chapter 7 Neighborhood-Based Local Sensitivity
9. Altmetric Badge
   Chapter 8 Approximating Gaussian Processes with ${\cal H}^2$ -Matrices
10. Altmetric Badge
    Chapter 9 Learning Metrics Between Tree Structured Data: Application to Image Recognition
11. Altmetric Badge
    Chapter 10 Shrinkage Estimator for Bayesian Network Parameters
12. Altmetric Badge
    Chapter 11 Level Learning Set: A Novel Classifier Based on Active Contour Models
13. Altmetric Badge
    Chapter 12 Learning Partially Observable Markov Models from First Passage Times
14. Altmetric Badge
    Chapter 13 Context Sensitive Paraphrasing with a Global Unsupervised Classifier
15. Altmetric Badge
    Chapter 14 Dual Strategy Active Learning
16. Altmetric Badge
    Chapter 15 Decision Tree Instability and Active Learning
17. Altmetric Badge
    Chapter 16 Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering
18. Altmetric Badge
    Chapter 17 The Cost of Learning Directed Cuts
19. Altmetric Badge
    Chapter 18 Spectral Clustering and Embedding with Hidden Markov Models
20. Altmetric Badge
    Chapter 19 Probabilistic Explanation Based Learning
21. Altmetric Badge
    Chapter 20 Graph-Based Domain Mapping for Transfer Learning in General Games
22. Altmetric Badge
    Chapter 21 Learning to Classify Documents with Only a Small Positive Training Set
23. Altmetric Badge
    Chapter 22 Structure Learning of Probabilistic Relational Models from Incomplete Relational Data
24. Altmetric Badge
    Chapter 23 Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA
25. Altmetric Badge
    Chapter 24 Bayesian Substructure Learning - Approximate Learning of Very Large Network Structures
26. Altmetric Badge
    Chapter 25 Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
27. Altmetric Badge
    Chapter 26 Source Separation with Gaussian Process Models
28. Altmetric Badge
    Chapter 27 Discriminative Sequence Labeling by Z-Score Optimization
29. Altmetric Badge
    Chapter 28 Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
30. Altmetric Badge
    Chapter 29 Bayesian Inference for Sparse Generalized Linear Models
31. Altmetric Badge
    Chapter 30 Classifier Loss Under Metric Uncertainty
32. Altmetric Badge
    Chapter 31 Additive Groves of Regression Trees
33. Altmetric Badge
    Chapter 32 Efficient Computation of Recursive Principal Component Analysis for Structured Input
34. Altmetric Badge
    Chapter 33 Hinge Rank Loss and the Area Under the ROC Curve
35. Altmetric Badge
    Chapter 34 Clustering Trees with Instance Level Constraints
36. Altmetric Badge
    Chapter 35 On Pairwise Naive Bayes Classifiers
37. Altmetric Badge
    Chapter 36 Separating Precision and Mean in Dirichlet-Enhanced High-Order Markov Models
38. Altmetric Badge
    Chapter 37 Safe Q-Learning on Complete History Spaces
39. Altmetric Badge
    Chapter 38 Random k-Labelsets: An Ensemble Method for Multilabel Classification
40. Altmetric Badge
    Chapter 39 Seeing the Forest Through the Trees: Learning a Comprehensible Model from an Ensemble
41. Altmetric Badge
    Chapter 40 Avoiding Boosting Overfitting by Removing Confusing Samples
42. Altmetric Badge
    Chapter 41 Planning and Learning in Environments with Delayed Feedback
43. Altmetric Badge
    Chapter 42 Analyzing Co-training Style Algorithms
44. Altmetric Badge
    Chapter 43 Policy Gradient Critics
45. Altmetric Badge
    Chapter 44 An Improved Model Selection Heuristic for AUC
46. Altmetric Badge
    Chapter 45 Finding the Right Family: Parent and Child Selection for Averaged One-Dependence Estimators
47. Altmetric Badge
    Chapter 46 Stepwise Induction of Multi-target Model Trees
48. Altmetric Badge
    Chapter 47 Comparing Rule Measures for Predictive Association Rules
49. Altmetric Badge
    Chapter 48 User Oriented Hierarchical Information Organization and Retrieval
50. Altmetric Badge
    Chapter 49 Learning a Classifier with Very Few Examples: Analogy Based and Knowledge Based Generation of New Examples for Character Recognition
51. Altmetric Badge
    Chapter 50 Weighted Kernel Regression for Predicting Changing Dependencies
52. Altmetric Badge
    Chapter 51 Counter-Example Generation-Based One-Class Classification
53. Altmetric Badge
    Chapter 52 Test-Cost Sensitive Classification Based on Conditioned Loss Functions
54. Altmetric Badge
    Chapter 53 Probabilistic Models for Action-Based Chinese Dependency Parsing
55. Altmetric Badge
    Chapter 54 Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
56. Altmetric Badge
    Chapter 55 A Simple Lexicographic Ranker and Probability Estimator
57. Altmetric Badge
    Chapter 56 On Minimizing the Position Error in Label Ranking
58. Altmetric Badge
    Chapter 57 On Phase Transitions in Learning Sparse Networks
59. Altmetric Badge
    Chapter 58 Semi-supervised Collaborative Text Classification
60. Altmetric Badge
    Chapter 59 Learning from Relevant Tasks Only
61. Altmetric Badge
    Chapter 60 An Unsupervised Learning Algorithm for Rank Aggregation
62. Altmetric Badge
    Chapter 61 Ensembles of Multi-Objective Decision Trees
63. Altmetric Badge
    Chapter 62 Kernel-Based Grouping of Histogram Data
64. Altmetric Badge
    Chapter 63 Active Class Selection
65. Altmetric Badge
    Chapter 64 Sequence Labeling with Reinforcement Learning and Ranking Algorithms
66. Altmetric Badge
    Chapter 65 Efficient Pairwise Classification
67. Altmetric Badge
    Chapter 66 Scale-Space Based Weak Regressors for Boosting
68. Altmetric Badge
    Chapter 67 K-Means with Large and Noisy Constraint Sets
69. Altmetric Badge
    Chapter 68 Towards ‘Interactive’ Active Learning in Multi-view Feature Sets for Information Extraction
70. Altmetric Badge
    Chapter 69 Principal Component Analysis for Large Scale Problems with Lots of Missing Values
71. Altmetric Badge
    Chapter 70 Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling
72. Altmetric Badge
    Chapter 71 Class Noise Mitigation Through Instance Weighting
73. Altmetric Badge
    Chapter 72 Optimizing Feature Sets for Structured Data
74. Altmetric Badge
    Chapter 73 Roulette Sampling for Cost-Sensitive Learning
75. Altmetric Badge
    Chapter 74 Modeling Highway Traffic Volumes
76. Altmetric Badge
    Chapter 75 Undercomplete Blind Subspace Deconvolution Via Linear Prediction
77. Altmetric Badge
    Chapter 76 Learning an Outlier-Robust Kalman Filter
78. Altmetric Badge
    Chapter 77 Imitation Learning Using Graphical Models
79. Altmetric Badge
    Chapter 78 Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks
80. Altmetric Badge
    Chapter 79 Semi-definite Manifold Alignment
81. Altmetric Badge
    Chapter 80 General Solution for Supervised Graph Embedding
82. Altmetric Badge
    Chapter 81 Multi-objective Genetic Programming for Multiple Instance Learning
83. Altmetric Badge
    Chapter 82 Exploiting Term, Predicate, and Feature Taxonomies in Propositionalization and Propositional Rule Learning