Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies
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Published By Springer Berlin Heidelberg

9783642286988, 9783642286995

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Optimised Information Abstraction in Granular Min/Max Clustering

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_3 ◽

2013 ◽

pp. 31-48 ◽

Cited By ~ 1

Author(s):

Andrzej Bargiela ◽

Witold Pedrycz

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The Mamdani Expert-System with Parametric Families of Fuzzy Constraints in Evaluation of Cancer Patient Survival Length

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_14 ◽

2013 ◽

pp. 359-378 ◽

Cited By ~ 1

Author(s):

Elisabeth Rakus-Andersson

Keyword(s):

Expert System ◽

Cancer Patient ◽

Patient Survival ◽

Fuzzy Constraints ◽

Parametric Families

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Identifying Calendar-Based Periodic Patterns

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_13 ◽

2013 ◽

pp. 329-357 ◽

Cited By ~ 5

Author(s):

Jhimli Adhikari ◽

P. R. Rao

Keyword(s):

Periodic Patterns

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Mining Incomplete Data—A Rough Set Approach

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_4 ◽

2013 ◽

pp. 49-74 ◽

Cited By ~ 2

Author(s):

Jerzy W. Grzymala-Busse ◽

Zdzislaw S. Hippe

Keyword(s):

Rough Set ◽

Incomplete Data

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A Granular Computing Paradigm for Concept Learning

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_12 ◽

2013 ◽

pp. 307-326 ◽

Cited By ~ 12

Author(s):

Yiyu Yao ◽

Xiaofei Deng

Keyword(s):

Concept Learning ◽

Granular Computing ◽

Computing Paradigm

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Support Vector Machines in Biomedical and Biometrical Applications

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_15 ◽

2013 ◽

pp. 379-417 ◽

Cited By ~ 8

Author(s):

Krzysztof A. Cyran ◽

Jolanta Kawulok ◽

Michal Kawulok ◽

Magdalena Stawarz ◽

Marcin Michalak ◽

...

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Vector Machines

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Learning of Defaults by Agents in a Distributed Multi-Agent System Environment

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_8 ◽

2013 ◽

pp. 197-213 ◽

Cited By ~ 1

Author(s):

Henryk Rybinski ◽

Dominik Ryżko ◽

Przemysław Więch

Keyword(s):

Multi Agent System ◽

Agent System ◽

System Environment ◽

Multi Agent

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Emerging Trends in Machine Learning: Classification of Stochastically Episodic Events

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_7 ◽

2013 ◽

pp. 161-195

Author(s):

B. John Oommen ◽

Colin Bellinger

Keyword(s):

Machine Learning ◽

Machine Learning Classification ◽

Episodic Events ◽

Emerging Trends

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Workload Modeling for Multimedia Surveillance Systems

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_16 ◽

2013 ◽

pp. 419-440 ◽

Cited By ~ 3

Author(s):

Mukesh Saini ◽

Pradeep K. Atrey ◽

Mohan S. Kankanhalli

Keyword(s):

Surveillance Systems ◽

Multimedia Surveillance

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Application of Learning Algorithms to Image Spam Evolution

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies ◽

10.1007/978-3-642-28699-5_18 ◽

2013 ◽

pp. 471-495 ◽

Cited By ~ 6

Author(s):

Shruti Wakade ◽

Kathy J. Liszka ◽

Chien-Chung Chan

Keyword(s):

Learning Algorithms ◽

Image Spam

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Emerging Paradigms in Machine Learning - Smart Innovation, Systems and TechnologiesLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Optimised Information Abstraction in Granular Min/Max Clustering

The Mamdani Expert-System with Parametric Families of Fuzzy Constraints in Evaluation of Cancer Patient Survival Length

Identifying Calendar-Based Periodic Patterns

Mining Incomplete Data—A Rough Set Approach

A Granular Computing Paradigm for Concept Learning

Support Vector Machines in Biomedical and Biometrical Applications

Learning of Defaults by Agents in a Distributed Multi-Agent System Environment

Emerging Trends in Machine Learning: Classification of Stochastically Episodic Events

Workload Modeling for Multimedia Surveillance Systems

Application of Learning Algorithms to Image Spam Evolution

Emerging Paradigms in Machine Learning - Smart Innovation, Systems and Technologies
Latest Publications