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» The Kernel Least-Mean-Square Algorithm
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128
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JISE
2010
144views more  JISE 2010»
14 years 10 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
112
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ICCAD
1997
IEEE
117views Hardware» more  ICCAD 1997»
15 years 8 months ago
Decomposition of timed decision tables and its use in presynthesis optimizations
Presynthesis optimizations transform a behavioral HDL description into an optimized HDL description that results in improved synthesis results. In this paper we introduce the decom...
Jian Li, Rajesh K. Gupta
AAAI
2008
15 years 6 months ago
Sketch Recognition Based on Manifold Learning
Current feature-based methods for sketch recognition systems rely on human-selected features. Certain machine learning techniques have been found to be good nonlinear features ext...
Heeyoul Choi, Tracy Hammond
151
Voted
TAMC
2007
Springer
15 years 10 months ago
Approximability and Parameterized Complexity of Consecutive Ones Submatrix Problems
Abstract. We develop a refinement of a forbidden submatrix characterization of 0/1-matrices fulfilling the Consecutive Ones Property (C1P). This novel characterization finds app...
Michael Dom, Jiong Guo, Rolf Niedermeier
156
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ALGORITHMICA
2008
111views more  ALGORITHMICA 2008»
15 years 3 months ago
Fixed-Parameter Complexity of Minimum Profile Problems
The profile of a graph is an integer-valued parameter defined via vertex orderings; it is known that the profile of a graph equals the smallest number of edges of an interval supe...
Gregory Gutin, Stefan Szeider, Anders Yeo