Machine Learning: ECML 2000 - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540676027, 9783540451648

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Beyond Occam’s Razor: Process-Oriented Evaluation

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_1 ◽

2000 ◽

pp. 3-3

Author(s):

Pedro Domingos

Keyword(s):

Occam’S Razor ◽

Process Oriented ◽

Occam's Razor

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Layered Learning

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_38 ◽

2000 ◽

pp. 369-381 ◽

Cited By ~ 42

Author(s):

Peter Stone ◽

Manuela Veloso

Keyword(s):

Layered Learning

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Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_16 ◽

2000 ◽

pp. 154-161 ◽

Cited By ~ 3

Author(s):

Katja Gelbrich ◽

Reza Nakhaeizadeh

Keyword(s):

Data Mining ◽

Automotive Industry ◽

Customer Lifetime Value ◽

Mining Environment ◽

Customer Lifetime ◽

Lifetime Value

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Metric-Based Inductive Learning Using Semantic Height Functions

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_27 ◽

2000 ◽

pp. 254-262 ◽

Cited By ~ 1

Author(s):

Zdravko Markov ◽

Ivo Marinchev

Keyword(s):

Inductive Learning ◽

Height Functions

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Boosting Applied to Word Sense Disambiguation

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_14 ◽

2000 ◽

pp. 129-141 ◽

Cited By ~ 32

Author(s):

Gerard Escudero ◽

Lluís Màrquez ◽

German Rigau

Keyword(s):

Word Sense Disambiguation ◽

Word Sense ◽

Sense Disambiguation

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Complexity Approximation Principle and Rissanen’s Approach to Real-Valued Parameters

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_21 ◽

2000 ◽

pp. 203-210

Author(s):

Yuri Kalnishkan

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Nonparametric Regularization of Decision Trees

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_36 ◽

2000 ◽

pp. 344-356 ◽

Cited By ~ 2

Author(s):

Tobias Scheffer

Keyword(s):

Decision Trees

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A Comparison of Ranking Methods for Classification Algorithm Selection

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_8 ◽

2000 ◽

pp. 63-75 ◽

Cited By ~ 43

Author(s):

Pavel B. Brazdil ◽

Carlos Soares

Keyword(s):

Classification Algorithm ◽

Ranking Methods ◽

Algorithm Selection

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Exploiting Classifier Combination for Early Melanoma Diagnosis Support

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_7 ◽

2000 ◽

pp. 55-62 ◽

Cited By ~ 7

Author(s):

E. Blanzieri ◽

C. Eccher ◽

S. Forti ◽

A. Sboner

Keyword(s):

Classifier Combination ◽

Melanoma Diagnosis

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Learning Trading Rules with Inductive Logic Programming

Machine Learning: ECML 2000 - Lecture Notes in Computer Science ◽

10.1007/3-540-45164-1_5 ◽

2000 ◽

pp. 39-46 ◽

Cited By ~ 2

Author(s):

Liviu Badea

Keyword(s):

Logic Programming ◽

Inductive Logic Programming ◽

Inductive Logic ◽

Trading Rules

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Machine Learning: ECML 2000 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Beyond Occam’s Razor: Process-Oriented Evaluation

Layered Learning

Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry

Metric-Based Inductive Learning Using Semantic Height Functions

Boosting Applied to Word Sense Disambiguation

Complexity Approximation Principle and Rissanen’s Approach to Real-Valued Parameters

Nonparametric Regularization of Decision Trees

A Comparison of Ranking Methods for Classification Algorithm Selection

Exploiting Classifier Combination for Early Melanoma Diagnosis Support

Learning Trading Rules with Inductive Logic Programming

Machine Learning: ECML 2000 - Lecture Notes in Computer Science
Latest Publications