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» Learning parallel portfolios of algorithms
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IFSA
2007
Springer
110views Fuzzy Logic» more  IFSA 2007»
14 years 1 months ago
Selection Criteria for Fuzzy Unsupervised Learning: Applied to Market Segmentation
The use of unsupervised fuzzy learning methods produces a large number of alternative classifications. This paper presents and analyzes a series of criteria to select the most sui...
Germán Sánchez, Núria Agell, ...
COLT
1994
Springer
13 years 11 months ago
An Optimal Parallel Algorithm for Learning DFA
: Sequential algorithms given by Angluin 1987 and Schapire 1992 learn deterministic nite automata DFA exactly from Membership and Equivalence queries. These algorithms are feasible...
José L. Balcázar, Josep Díaz,...
TSMC
1998
97views more  TSMC 1998»
13 years 7 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind
AUSDM
2006
Springer
177views Data Mining» more  AUSDM 2006»
13 years 11 months ago
On The Optimal Working Set Size in Serial and Parallel Support Vector Machine Learning With The Decomposition Algorithm
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
Tatjana Eitrich, Bruno Lang
ICPADS
2007
IEEE
14 years 1 months ago
A scheduling algorithm for revenue maximisation for cluster-based Internet services
This paper proposes a new priority scheduling algorithm to maximise site revenue of session-based multi-tier Internet services in a multicluster environment. This research is part...
James Wen Jun Xue, Ligang He, Stephen A. Jarvis