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Machine Learning: ECML 2003

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Cover of 'Machine Learning: ECML 2003'

Table of Contents

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    Book Overview
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    Chapter 1 From Knowledge-Based to Skill-Based Systems: Sailing as a Machine Learning Challenge
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    Chapter 2 Two-Eyed Algorithms and Problems
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    Chapter 3 Next Generation Data Mining Tools: Power Laws and Self-similarity for Graphs, Streams and Traditional Data
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    Chapter 4 Taking Causality Seriously: Propensity Score Methodology Applied to Estimate the Effects of Marketing Interventions
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    Chapter 5 Support Vector Machines with Example Dependent Costs
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    Chapter 6 Abalearn: A Risk-Sensitive Approach to Self-play Learning in Abalone
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    Chapter 7 Life Cycle Modeling of News Events Using Aging Theory
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    Chapter 8 Unambiguous Automata Inference by Means of State-Merging Methods
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    Chapter 9 Could Active Perception Aid Navigation of Partially Observable Grid Worlds?
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    Chapter 10 Combined Optimization of Feature Selection and Algorithm Parameters in Machine Learning of Language
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    Chapter 11 Iteratively Extending Time Horizon Reinforcement Learning
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    Chapter 12 Volume under the ROC Surface for Multi-class Problems
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    Chapter 13 Improving the AUC of Probabilistic Estimation Trees
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    Chapter 14 Scaled CGEM: A Fast Accelerated EM
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    Chapter 15 Pairwise Preference Learning and Ranking
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    Chapter 16 A New Way to Introduce Knowledge into Reinforcement Learning
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    Chapter 17 Improvement of the State Merging Rule on Noisy Data in Probabilistic Grammatical Inference
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    Chapter 18 COllective INtelligence with Sequences of Actions
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    Chapter 19 Rademacher Penalization over Decision Tree Prunings
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    Chapter 20 Learning Rules to Improve a Machine Translation System
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    Chapter 21 Optimising Performance of Competing Search Engines in Heterogeneous Web Environments
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    Chapter 22 Robust k -DNF Learning via Inductive Belief Merging
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    Chapter 23 Logistic Model Trees
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    Chapter 24 Color Image Segmentation: Kernel Do the Feature Space
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    Chapter 25 Evaluation of Topographic Clustering and Its Kernelization
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    Chapter 26 A New Pairwise Ensemble Approach for Text Classification
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    Chapter 27 Self-evaluated Learning Agent in Multiple State Games
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    Chapter 28 Classification Approach towards Ranking and Sorting Problems
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    Chapter 29 Using MDP Characteristics to Guide Exploration in Reinforcement Learning
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    Chapter 30 Experiments with Cost-Sensitive Feature Evaluation
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    Chapter 31 A Markov Network Based Factorized Distribution Algorithm for Optimization
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    Chapter 32 On Boosting Improvement: Error Reduction and Convergence Speed-Up
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    Chapter 33 Improving SVM Text Classification Performance through Threshold Adjustment
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    Chapter 34 Backoff Parameter Estimation for the DOP Model
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    Chapter 35 Improving Numerical Prediction with Qualitative Constraints
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    Chapter 36 A Generative Model for Semantic Role Labeling
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    Chapter 37 Optimizing Local Probability Models for Statistical Parsing
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    Chapter 38 Extended Replicator Dynamics as a Key to Reinforcement Learning in Multi-agent Systems
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    Chapter 39 Visualizations for Assessing Convergence and Mixing of MCMC
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    Chapter 40 A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes
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    Chapter 41 Improving Rocchio with Weakly Supervised Clustering
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    Chapter 42 A Two-Level Learning Method for Generalized Multi-instance Problems
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    Chapter 43 Clustering in Knowledge Embedded Space
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    Chapter 44 Ensembles of Multi-instance Learners
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58 Mendeley
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Title
Machine Learning: ECML 2003
Published by
Springer Science & Business Media, September 2003
DOI 10.1007/b13633
ISBNs
978-3-54-020121-2, 978-3-54-039857-8
Editors

Lavrač, Nada, Gamberger, Dragan, Blockeel, Hendrik, Todorovski, Ljupčo

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Italy 1 2%
Australia 1 2%
Sri Lanka 1 2%
Portugal 1 2%
Canada 1 2%
Unknown 50 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 28%
Student > Master 10 17%
Researcher 8 14%
Student > Doctoral Student 6 10%
Student > Bachelor 5 9%
Other 13 22%
Readers by discipline Count As %
Computer Science 27 47%
Engineering 9 16%
Unspecified 3 5%
Agricultural and Biological Sciences 2 3%
Medicine and Dentistry 2 3%
Other 15 26%