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ICDM
2003
IEEE
143views Data Mining» more  ICDM 2003»
15 years 11 months ago
Active Sampling for Feature Selection
In knowledge discovery applications, where new features are to be added, an acquisition policy can help select the features to be acquired based on their relevance and the cost of...
Sriharsha Veeramachaneni, Paolo Avesani
AUSAI
2003
Springer
15 years 11 months ago
Learning Action Selection Network of Intelligent Agent
Behavior-based artificial intelligent system is to derive the complicated behaviors by selecting appropriate one from a set of basic behaviors. Many robot systems have used behavi...
Eun-Kyung Yun, Sung-Bae Cho
GECCO
2003
Springer
15 years 11 months ago
Selection Intensity in Asynchronous Cellular Evolutionary Algorithms
Abstract. This paper presents a theoretical study of the selection pressure in asynchronous cellular evolutionary algorithms (cEAs). This work is motivated by the search for a gene...
Mario Giacobini, Enrique Alba, Marco Tomassini
GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
15 years 11 months ago
The Effect of Binary Matching Rules in Negative Selection
Negative selection algorithm is one of the most widely used techniques in the field of artificial immune systems. It is primarily used to detect changes in data/behavior patterns...
Fabio A. González, Dipankar Dasgupta, Jonat...
COMPGEOM
2010
ACM
15 years 11 months ago
Improving the first selection lemma in R3
We present new bounds on the first selection lemma in R3 . This makes progress on the open problems of Bukh, Matoušek and Nivash [6] and Boros-Füredi [4] for the three-dimensio...
Abdul Basit, Nabil H. Mustafa, Saurabh Ray, Sarfra...