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Machine Learning: ECML 2000 : 11th European Conference on Machine Learning Barcelona, Catalonia, Spain, May 31 – June 2, 2000 Proceedings

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Cover of 'Machine Learning: ECML 2000 : 11th European Conference on Machine Learning Barcelona, Catalonia, Spain, May 31 – June 2, 2000 Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Beyond Occam’s Razor: Process-Oriented Evaluation
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    Chapter 2 The Representation Race — Preprocessing for Handling Time Phenomena
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    Chapter 3 Short-Term Profiling for a Case-Based Reasoning Recommendation System
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    Chapter 4 K -SVCR. A Multi-class Support Vector Machine
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    Chapter 5 Learning Trading Rules with Inductive Logic Programming
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    Chapter 6 Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning
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    Chapter 7 Exploiting Classifier Combination for Early Melanoma Diagnosis Support
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    Chapter 8 A Comparison of Ranking Methods for Classification Algorithm Selection
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    Chapter 9 Hidden Markov Models with Patterns and Their Application to Integrated Circuit Testing
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    Chapter 10 Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers
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    Chapter 11 Wrapper Generation via Grammar Induction
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    Chapter 12 Diversity versus Quality in Classification Ensembles Based on Feature Selection
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    Chapter 13 Minimax TD-Learning with Neural Nets in a Markov Game
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    Chapter 14 Boosting Applied to Word Sense Disambiguation
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    Chapter 15 A Multiple Model Cost-Sensitive Approach for Intrusion Detection
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    Chapter 16 Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry
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    Chapter 17 Investigation and Reduction of Discretization Variance in Decision Tree Induction
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    Chapter 18 Asymmetric Co-evolution for Imperfect-Information Zero-Sum Games
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    Chapter 19 A Machine Learning Approach to Workflow Management
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    Chapter 20 The Utilization of Context Signals in the Analysis of ABR Potentials by Application of Neural Networks
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    Chapter 21 Complexity Approximation Principle and Rissanen’s Approach to Real-Valued Parameters
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    Chapter 22 Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modeling
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    Chapter 23 Learning Context-Free Grammars with a Simplicity Bias
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    Chapter 24 Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme
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    Chapter 25 Toward an Explanatory Similarity Measure for Nearest-Neighbor Classification
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    Chapter 26 Relative Unsupervised Discretization for Regression Problems
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    Chapter 27 Metric-Based Inductive Learning Using Semantic Height Functions
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    Chapter 28 Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning
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    Chapter 29 A Study on the Performance of Large Bayes Classifier
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    Chapter 30 Dynamic Discretization of Continuous Values from Time Series
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    Chapter 31 Using a Symbolic Machine Learning Tool to Refine Lexico-syntactic Patterns
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    Chapter 32 Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy — A Biological Case-Study
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    Chapter 33 Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm
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    Chapter 34 Learning Patterns of Behavior by Observing System Events
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    Chapter 35 Dimensionality Reduction through Sub-space Mapping for Nearest Neighbour Algorithms
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    Chapter 36 Nonparametric Regularization of Decision Trees
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    Chapter 37 An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners
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    Chapter 38 Layered Learning
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    Chapter 39 Problem Decomposition for Behavioural Cloning
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    Chapter 40 Dynamic Feature Selection in Incremental Hierarchical Clustering
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    Chapter 41 On the Boosting Pruning Problem
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    Chapter 42 An Empirical Study of MetaCost Using Boosting Algorithms
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    Chapter 43 Clustered Partial Linear Regression
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    Chapter 44 Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices
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    Chapter 45 Some Improvements on Event-Sequence Temporal Region Methods
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Title
Machine Learning: ECML 2000 : 11th European Conference on Machine Learning Barcelona, Catalonia, Spain, May 31 – June 2, 2000 Proceedings
Published by
Springer Berlin Heidelberg, January 2000
DOI 10.1007/3-540-45164-1
ISBNs
978-3-54-045164-8, 978-3-54-067602-7
Editors

López de Mántaras, Ramon, Plaza, Enric

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 1%
Student > Ph. D. Student 1 1%
Student > Bachelor 1 1%
Researcher 1 1%
Unknown 64 94%
Readers by discipline Count As %
Unspecified 1 1%
Computer Science 1 1%
Engineering 1 1%
Unknown 65 96%