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ADBIS
2007
Springer
256views Database» more  ADBIS 2007»
15 years 1 months ago
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
Stefanos Ougiaroglou, Alexandros Nanopoulos, Apost...
USS
2010
14 years 7 months ago
Adapting Software Fault Isolation to Contemporary CPU Architectures
Software Fault Isolation (SFI) is an effective approach to sandboxing binary code of questionable provenance, an interesting use case for native plugins in a Web browser. We prese...
David Sehr, Robert Muth, Cliff Biffle, Victor Khim...
SASO
2008
IEEE
15 years 4 months ago
Self-Adaptive Dissemination of Data in Dynamic Sensor Networks
The distribution of data in large dynamic wireless sensor networks presents a difficult problem due to node mobility, link failures, and traffic congestion. In this paper, we pr...
David Dorsey, Bjorn Jay Carandang, Moshe Kam, Chri...
ISCAS
2006
IEEE
67views Hardware» more  ISCAS 2006»
15 years 3 months ago
A single inductor multiple output converter with adaptive delta current mode control
—The authors propose a Single Inductor Multiple Output Converter (SIMO) with adaptive delta current mode control. A new time multiplexing scheme is also proposed for this type of...
A. Sharma, Y. S. Pavan
GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
15 years 3 months ago
Adaptive crossover and mutation in genetic algorithms based on clustering technique
Instead of having fixed px and pm, this paper presents the use of fuzzy logic to adaptively tune px and pm for optimization of power electronic circuits throughout the process. By...
Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong