4930 search results - page 171 / 986 » Learning minimal abstractions |
97
Voted
ML
2002
ACM
15 years 20 days ago
2002
ACM
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
104
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of...
100
Voted
CVPR
2007
IEEE
16 years 3 months ago
2007
IEEE
Automatic detection of dynamic events in video sequences has a variety of applications including visual surveillance and monitoring, video highlight extraction, intelligent transp...
97
Voted
ECML
2007
Springer
15 years 7 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
GECCO
2005
Springer
15 years 6 months ago
2005
Springer
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...