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IPSN
2004
Springer
16 years 19 days ago
Entropy-based sensor selection heuristic for target localization
We propose an entropy-based sensor selection heuristic for localization. Given 1) a prior probability distribution of the target location, and 2) the locations and the sensing mod...
Hanbiao Wang, Kung Yao, Gregory J. Pottie, Deborah...
ICTAI
1993
IEEE
15 years 11 months ago
Robust Feature Selection Algorithms
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
Haleh Vafaie, Kenneth DeJong
DEXAW
2009
IEEE
173views Database» more  DEXAW 2009»
16 years 2 months ago
Automatic Cluster Number Selection Using a Split and Merge K-Means Approach
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...
Markus Muhr, Michael Granitzer
JLP
2011
155views more  JLP 2011»
15 years 2 months ago
QoS negotiation in service composition
Service composition in Service Oriented Computing concerns not only integration of heterogeneous distributed applications but also dynamic selection of services. Quality of Servic...
Maria Grazia Buscemi, Ugo Montanari
ADMA
2006
Springer
172views Data Mining» more  ADMA 2006»
16 years 1 months ago
Experimental Comparison of Feature Subset Selection Using GA and ACO Algorithm
Abstract. Practical pattern classification and knowledge discovery problems require selecting a useful subset of features from a much larger set to represent the patterns to be cl...
Keunjoon Lee, Jinu Joo, Jihoon Yang, Vasant Honava...