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JMLR
2008
114views more  JMLR 2008»
15 years 3 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
113
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JSW
2008
167views more  JSW 2008»
15 years 3 months ago
An Approach to Discover Dependencies between Service Operations
Service composition is emerging as an important paradigm for constructing distributed applications by combining and reusing independently developed component services. One key issu...
Shuying Yan, Jing Wang 0002, Chen Liu, Lei Liu
DM
2007
100views more  DM 2007»
15 years 3 months ago
Hamiltonian paths with prescribed edges in hypercubes
Given a set P of at most 2n − 4 prescribed edges (n ≥ 5) and vertices u and v whose mutual distance is odd, the n-dimensional hypercube Qn contains a hamiltonian path between ...
Tomás Dvorák, Petr Gregor
121
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ECCC
2007
144views more  ECCC 2007»
15 years 3 months ago
Algebraic Lower Bounds for Computing on Encrypted Data
In cryptography, there has been tremendous success in building primitives out of homomorphic semantically-secure encryption schemes, using homomorphic properties in a blackbox way...
Rafail Ostrovsky, William E. Skeith III
JMLR
2006
117views more  JMLR 2006»
15 years 3 months ago
On the Complexity of Learning Lexicographic Strategies
Fast and frugal heuristics are well studied models of bounded rationality. Psychological research has proposed the take-the-best heuristic as a successful strategy in decision mak...
Michael Schmitt, Laura Martignon
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