Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783642175367, 9783642175374

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Rough-Set-Based Association Rules Applied to Brand Trust Evaluation Model

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_77 ◽

2010 ◽

pp. 634-641 ◽

Cited By ~ 4

Author(s):

Shu-Hsien Liao ◽

Yin-Ju Chen ◽

Pei-Hui Chu

Keyword(s):

Association Rules ◽

Rough Set ◽

Evaluation Model ◽

Brand Trust ◽

Trust Evaluation

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A Swarm Intelligence Approach to the Quadratic Multiple Knapsack Problem

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_76 ◽

2010 ◽

pp. 626-633 ◽

Cited By ~ 23

Author(s):

Shyam Sundar ◽

Alok Singh

Keyword(s):

Swarm Intelligence ◽

Knapsack Problem ◽

Multiple Knapsack Problem ◽

Multiple Knapsack ◽

Intelligence Approach

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Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_73 ◽

2010 ◽

pp. 601-608 ◽

Cited By ~ 2

Author(s):

Qi Kong ◽

Hai Zhao ◽

Bao-liang Lu

Keyword(s):

Ensemble Learning ◽

Large Scale ◽

Learning Strategy

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Application Rough Sets Theory to Ordinal Scale Data for Discovering Knowledge

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_63 ◽

2010 ◽

pp. 512-519

Author(s):

Shu-Hsien Liao ◽

Yin-Ju Chen ◽

Pei-Hui Chu

Keyword(s):

Rough Sets ◽

Ordinal Scale ◽

Rough Sets Theory ◽

Sets Theory ◽

Scale Data

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A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_58 ◽

2010 ◽

pp. 470-477 ◽

Cited By ~ 2

Author(s):

Mohammad Sajjad Ghaemi ◽

Saeed Masoudnia ◽

Reza Ebrahimpour

Keyword(s):

Face Recognition ◽

Sample Size ◽

Small Sample Size ◽

Small Sample ◽

New Framework

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An Enhanced Semi-supervised Recommendation Model Based on Green’s Function

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_49 ◽

2010 ◽

pp. 397-404 ◽

Cited By ~ 1

Author(s):

Dingyan Wang ◽

Irwin King

Keyword(s):

Green’S Function ◽

Green's Function ◽

Model Based

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Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_48 ◽

2010 ◽

pp. 388-396

Author(s):

Tianyi Zhou ◽

Dacheng Tao

Keyword(s):

Quadratic Optimization

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Learning Parametric Dynamic Movement Primitives from Multiple Demonstrations

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_43 ◽

2010 ◽

pp. 347-354 ◽

Cited By ~ 3

Author(s):

Takamitsu Matsubara ◽

Sang-Ho Hyon ◽

Jun Morimoto

Keyword(s):

Movement Primitives ◽

Dynamic Movement ◽

Dynamic Movement Primitives

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m-SNE: Multiview Stochastic Neighbor Embedding

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_42 ◽

2010 ◽

pp. 338-346 ◽

Cited By ~ 8

Author(s):

Bo Xie ◽

Yang Mu ◽

Dacheng Tao

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Representation of Hypertext Documents Based on Terms, Links and Text Compressibility

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science ◽

10.1007/978-3-642-17537-4_35 ◽

2010 ◽

pp. 282-289 ◽

Cited By ~ 2

Author(s):

Julian Szymański ◽

Włodzisław Duch

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Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Rough-Set-Based Association Rules Applied to Brand Trust Evaluation Model

A Swarm Intelligence Approach to the Quadratic Multiple Knapsack Problem

Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization

Application Rough Sets Theory to Ordinal Scale Data for Discovering Knowledge

A New Framework for Small Sample Size Face Recognition Based on Weighted Multiple Decision Templates

An Enhanced Semi-supervised Recommendation Model Based on Green’s Function

Backward-Forward Least Angle Shrinkage for Sparse Quadratic Optimization

Learning Parametric Dynamic Movement Primitives from Multiple Demonstrations

m-SNE: Multiview Stochastic Neighbor Embedding

Representation of Hypertext Documents Based on Terms, Links and Text Compressibility

Neural Information Processing. Theory and Algorithms - Lecture Notes in Computer Science
Latest Publications