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GECCO
2003
Springer
113views Optimization» more  GECCO 2003»
15 years 9 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...
128
Voted
AAAI
1998
15 years 6 months ago
Branch and Bound Algorithm Selection by Performance Prediction
Wepropose a method called Selection by Performance Prediction (SPP) which allows one, when faced with a particular problem instance, to select a Branch and Boundalgorithm from amo...
Lionel Lobjois, Michel Lemaître
MCS
2010
Springer
15 years 3 months ago
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities
Abstract. The Support Kernel Machine (SKM) and the Relevance Kernel Machine (RKM) are two principles for selectively combining objectrepresentation modalities of different kinds b...
Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, Da...
155
Voted
PAMI
2010
132views more  PAMI 2010»
15 years 3 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ICIP
1995
IEEE
16 years 6 months ago
Efficient mode selection for block-based motion compensated video coding
A method for efficiently selecting the operating modes within a block-based multi-mode video compression system is described. For a given image region, the optimum combination of ...
Thomas Wiegand, Michael Lightstone, T. George Camp...