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» Local Search Algorithms for SAT: An Empirical Evaluation
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AUSAI
2001
Springer
15 years 3 months ago
A Memetic Pareto Evolutionary Approach to Artificial Neural Networks
Evolutionary Artificial Neural Networks (EANN) have been a focus of research in the areas of Evolutionary Algorithms (EA) and Artificial Neural Networks (ANN) for the last decade. ...
Hussein A. Abbass
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 2 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
DBKDA
2010
IEEE
169views Database» more  DBKDA 2010»
15 years 5 months ago
XLeaf: Twig Evaluation with Skipping Loop Joins and Virtual Nodes
Abstract—XML indexing and search has become an important topic, and twig joins are key building blocks in XML search systems. This paper describes a novel approach using a nested...
Nils Grimsmo, Truls Amundsen Bjørklund, &Os...
AAAI
1996
15 years 1 months ago
Constructive Neural Network Learning Algorithms
Constructive learning algorithms offer an attractive approach for the incremental construction of near-minimal neural-network architectures for pattern classification. They help ov...
Rajesh Parekh, Jihoon Yang, Vasant Honavar
ISNN
2007
Springer
15 years 6 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong