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105
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JASIS
2000
143views more  JASIS 2000»
14 years 11 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
CEC
2010
IEEE
14 years 10 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
91
Voted
CVPR
2005
IEEE
16 years 1 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
168
Voted
SIGMOD
2007
ACM
160views Database» more  SIGMOD 2007»
15 years 11 months ago
Supporting ranking and clustering as generalized order-by and group-by
The Boolean semantics of SQL queries cannot adequately capture the "fuzzy" preferences and "soft" criteria required in non-traditional data retrieval applicati...
Chengkai Li, Min Wang, Lipyeow Lim, Haixun Wang, K...
IPPS
2008
IEEE
15 years 6 months ago
A game theoretical data replication technique for mobile ad hoc networks
Adaptive replication of data items on servers of a mobile ad hoc network can alleviate access delays. The selection of data items and servers requires solving a constrained optimi...
Samee Ullah Khan, Anthony A. Maciejewski, Howard J...