↓ Skip to main content

Machine Learning: ECML 2002

Overview of attention for book
Cover of 'Machine Learning: ECML 2002'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Convergent Gradient Ascent in General-Sum Games
  3. Altmetric Badge
    Chapter 2 Revising Engineering Models: Combining Computational Discovery with Knowledge
  4. Altmetric Badge
    Chapter 3 Variational Extensions to EM and Multinomial PCA
  5. Altmetric Badge
    Chapter 4 Learning and Inference for Clause Identification
  6. Altmetric Badge
    Chapter 5 An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks
  7. Altmetric Badge
    Chapter 6 Variance Optimized Bagging
  8. Altmetric Badge
    Chapter 7 How to Make AdaBoost.M1 Work for Weak Base Classifiers by Changing Only One Line of the Code
  9. Altmetric Badge
    Chapter 8 Sparse Online Greedy Support Vector Regression
  10. Altmetric Badge
    Chapter 9 Pairwise Classification as an Ensemble Technique
  11. Altmetric Badge
    Chapter 10 RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood
  12. Altmetric Badge
    Chapter 11 Using Hard Classifiers to Estimate Conditional Class Probabilities
  13. Altmetric Badge
    Chapter 12 Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner
  14. Altmetric Badge
    Chapter 13 Scaling Boosting by Margin-Based Inclusion of Features and Relations
  15. Altmetric Badge
    Chapter 14 Multiclass Alternating Decision Trees
  16. Altmetric Badge
    Chapter 15 Possibilistic Induction in Decision-Tree Learning
  17. Altmetric Badge
    Chapter 16 Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains
  18. Altmetric Badge
    Chapter 17 Collaborative Learning of Term-Based Concepts for Automatic Query Expansion
  19. Altmetric Badge
    Chapter 18 Learning to Play a Highly Complex Game from Human Expert Games
  20. Altmetric Badge
    Chapter 19 Reliable Classifications with Machine Learning
  21. Altmetric Badge
    Chapter 20 Robustness Analyses of Instance-Based Collaborative Recommendation
  22. Altmetric Badge
    Chapter 21 i Boost: Boosting Using an i nstance-Based Exponential Weighting Scheme
  23. Altmetric Badge
    Chapter 22 Towards a Simple Clustering Criterion Based on Minimum Length Encoding
  24. Altmetric Badge
    Chapter 23 Class Probability Estimation and Cost-Sensitive Classification Decisions
  25. Altmetric Badge
    Chapter 24 On-Line Support Vector Machine Regression
  26. Altmetric Badge
    Chapter 25 Q-Cut—Dynamic Discovery of Sub-goals in Reinforcement Learning
  27. Altmetric Badge
    Chapter 26 A Multistrategy Approach to the Classification of Phases in Business Cycles
  28. Altmetric Badge
    Chapter 27 A Robust Boosting Algorithm
  29. Altmetric Badge
    Chapter 28 Case Exchange Strategies in Multiagent Learning
  30. Altmetric Badge
    Chapter 29 Inductive Confidence Machines for Regression
  31. Altmetric Badge
    Chapter 30 Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique
  32. Altmetric Badge
    Chapter 31 Propagation of Q-values in Tabular TD(λ)
  33. Altmetric Badge
    Chapter 32 Transductive Confidence Machines for Pattern Recognition
  34. Altmetric Badge
    Chapter 33 Characterizing Markov Decision Processes
  35. Altmetric Badge
    Chapter 34 Phase Transitions and Stochastic Local Search in k-Term DNF Learning
  36. Altmetric Badge
    Chapter 35 Discriminative Clustering: Optimal Contingency Tables by Learning Metrics
  37. Altmetric Badge
    Chapter 36 Boosting Density Function Estimators
  38. Altmetric Badge
    Chapter 37 Ranking with Predictive Clustering Trees
  39. Altmetric Badge
    Chapter 38 Support Vector Machines for Polycategorical Classification
  40. Altmetric Badge
    Chapter 39 Learning Classification with Both Labeled and Unlabeled Data
  41. Altmetric Badge
    Chapter 40 An Information Geometric Perspective on Active Learning
  42. Altmetric Badge
    Chapter 41 Stacking with an Extended Set of Meta-level Attributes and MLR
  43. Altmetric Badge
    Chapter 42 Finding Hidden Factors Using Independent Component Analysis
  44. Altmetric Badge
    Chapter 43 Reasoning with Classifiers
  45. Altmetric Badge
    Chapter 44 A Kernel Approach for Learning from almost Orthogonal Patterns
  46. Altmetric Badge
    Chapter 45 Learning with Mixture Models: Concepts and Applications
Overall attention for this book and its chapters
Altmetric Badge

Mentioned by

blogs
1 blog
patent
2 patents
facebook
1 Facebook page

Readers on

mendeley
20 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Machine Learning: ECML 2002
Published by
Springer Berlin Heidelberg, August 2002
DOI 10.1007/3-540-36755-1
ISBNs
978-3-54-044036-9, 978-3-54-036755-0
Editors

Elomaa, Tapio, Mannila, Heikki, Toivonen, Hannu

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 25%
Researcher 5 25%
Student > Ph. D. Student 4 20%
Student > Doctoral Student 2 10%
Other 1 5%
Other 2 10%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 10 50%
Engineering 2 10%
Business, Management and Accounting 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Agricultural and Biological Sciences 1 5%
Other 3 15%
Unknown 2 10%