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» Functional Programming in Sublinear Space
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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
14 years 10 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
JCC
2011
154views more  JCC 2011»
13 years 23 days ago
Can we trust docking results? Evaluation of seven commonly used programs on PDBbind database
: Docking is one of the most commonly used techniques in drug design. It is used for both identifying correct poses of a ligand in the binding site of a protein as well as for the ...
Dariusz Plewczynski, Michal Lazniewski, Rafal Augu...
AAAI
1993
13 years 11 months ago
Generating Quasi-symbolic Representation of Three-Dimensional Flow
Understanding flow in the three-dimensional phase space is challenging both to human experts and to current computer science technology. To break through the barrier, we are build...
Toyoaki Nishida
PRL
2008
118views more  PRL 2008»
13 years 9 months ago
A large margin approach for writer independent online handwriting classification
This paper proposes a new approach for classifying multivariate time-series with applications to the problem of writer independent online handwritten character recognition. Each t...
Karthik Kumara, Rahul Agrawal, Chiranjib Bhattacha...
POPL
2009
ACM
14 years 10 months ago
A combination framework for tracking partition sizes
ibe an abstract interpretation based framework for proving relationships between sizes of memory partitions. Instances of this framework can prove traditional properties such as m...
Sumit Gulwani, Tal Lev-Ami, Mooly Sagiv