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105
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ESANN
2004
15 years 2 months ago
Evolutionary tuning of multiple SVM parameters
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
Frauke Friedrichs, Christian Igel
STOC
2006
ACM
141views Algorithms» more  STOC 2006»
16 years 1 months ago
Lattice problems and norm embeddings
We present reductions from lattice problems in the 2 norm to the corresponding problems in other norms such as 1, (and in fact in any other p norm where 1 p ). We consider latt...
Oded Regev, Ricky Rosen
87
Voted
NAACL
2007
15 years 2 months ago
Clustered Sub-Matrix Singular Value Decomposition
This paper presents an alternative algorithm based on the singular value decomposition (SVD) that creates vector representation for linguistic units with reduced dimensionality. T...
Fang Huang, Yorick Wilks
89
Voted
NIPS
1990
15 years 1 months ago
Back Propagation is Sensitive to Initial Conditions
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
John F. Kolen, Jordan B. Pollack
106
Voted
CGA
2008
15 years 24 days ago
Representing Rotations and Orientations in Geometric Computing
Geometric computing with three-dimensional rotations and orientations is a fundamental issue in three-dimensional computer graphics. Our approach was inspired by affine geometry a...
Jehee Lee