Lecture Notes in Computer Science - Foundations of Intelligent Systems
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Published By Springer Berlin Heidelberg

9783540457640, 9783540457664

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Learning Students’ Learning Patterns with Support Vector Machines

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_67 ◽

2006 ◽

pp. 601-611 ◽

Cited By ~ 1

Author(s):

Chao-Lin Liu

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Learning Patterns ◽

Vector Machines

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SAT as an Effective Solving Technology for Constraint Problems

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_61 ◽

2006 ◽

pp. 540-549 ◽

Cited By ~ 7

Author(s):

Marco Cadoli ◽

Toni Mancini ◽

Fabio Patrizi

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Action Rules Discovery System DEAR_3

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_55 ◽

2006 ◽

pp. 483-492 ◽

Cited By ~ 8

Author(s):

Li-Shiang Tsay ◽

Zbigniew W. Raś

Keyword(s):

Discovery System

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A Proximity Measure and a Clustering Method for Concept Extraction in an Ontology Building Perspective

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_77 ◽

2006 ◽

pp. 697-706

Author(s):

Guillaume Cleuziou ◽

Sylvie Billot ◽

Stanislas Lew ◽

Lionel Martin ◽

Christel Vrain

Keyword(s):

Clustering Method ◽

Proximity Measure ◽

Concept Extraction ◽

Ontology Building

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Adding Efficient Data Management to Logic Programming Systems

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_59 ◽

2006 ◽

pp. 524-533

Author(s):

G. Terracina ◽

N. Leone ◽

V. Lio ◽

C. Panetta

Keyword(s):

Data Management ◽

Logic Programming ◽

Efficient Data ◽

Programming Systems

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Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_44 ◽

2006 ◽

pp. 379-388

Author(s):

Hidenao Abe ◽

Shusaku Tsumoto ◽

Miho Ohsaki ◽

Takahira Yamaguchi

Keyword(s):

Learning Algorithms ◽

Rule Evaluation

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Decision Fusion of Shape and Motion Information Based on Bayesian Framework for Moving Object Classification in Image Sequences

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_4 ◽

2006 ◽

pp. 19-28

Author(s):

Heungkyu Lee ◽

JungHo Kim ◽

June Kim

Keyword(s):

Object Classification ◽

Bayesian Framework ◽

Decision Fusion ◽

Image Sequences ◽

Moving Object ◽

Motion Information

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Argument-Based Machine Learning

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_2 ◽

2006 ◽

pp. 11-17

Author(s):

Ivan Bratko ◽

Martin Možina ◽

Jure Žabkar

Keyword(s):

Machine Learning

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Towards Constrained Co-clustering in Ordered 0/1 Data Sets

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_49 ◽

2006 ◽

pp. 425-434 ◽

Cited By ~ 3

Author(s):

Ruggero G. Pensa ◽

Céline Robardet ◽

Jean-François Boulicaut

Keyword(s):

Data Sets

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Practical Approximation of Optimal Multivariate Discretization

Lecture Notes in Computer Science - Foundations of Intelligent Systems ◽

10.1007/11875604_68 ◽

2006 ◽

pp. 612-621 ◽

Cited By ~ 2

Author(s):

Tapio Elomaa ◽

Jussi Kujala ◽

Juho Rousu

Keyword(s):

Multivariate Discretization

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Lecture Notes in Computer Science - Foundations of Intelligent SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Learning Students’ Learning Patterns with Support Vector Machines

SAT as an Effective Solving Technology for Constraint Problems

Action Rules Discovery System DEAR_3

A Proximity Measure and a Clustering Method for Concept Extraction in an Ontology Building Perspective

Adding Efficient Data Management to Logic Programming Systems

Evaluating Learning Algorithms for a Rule Evaluation Support Method Based on Objective Rule Evaluation Indices

Decision Fusion of Shape and Motion Information Based on Bayesian Framework for Moving Object Classification in Image Sequences

Argument-Based Machine Learning

Towards Constrained Co-clustering in Ordered 0/1 Data Sets

Practical Approximation of Optimal Multivariate Discretization

Lecture Notes in Computer Science - Foundations of Intelligent Systems
Latest Publications