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ML
2008
ACM
101views Machine Learning» more  ML 2008»
15 years 4 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
JMLR
2010
147views more  JMLR 2010»
14 years 11 months ago
Spectral Regularization Algorithms for Learning Large Incomplete Matrices
We use convex relaxation techniques to provide a sequence of regularized low-rank solutions for large-scale matrix completion problems. Using the nuclear norm as a regularizer, we...
Rahul Mazumder, Trevor Hastie, Robert Tibshirani
MP
2002
84views more  MP 2002»
15 years 3 months ago
The volume algorithm revisited: relation with bundle methods
We revise the Volume Algorithm (VA) for linear programming and relate it to bundle methods. When first introduced, VA was presented as a subgradient-like method for solving the ori...
Laura Bahiense, Nelson Maculan, Claudia A. Sagasti...
JOC
2002
99views more  JOC 2002»
15 years 3 months ago
The Insecurity of the Digital Signature Algorithm with Partially Known Nonces
We present a polynomial-time algorithm that provably recovers the signer's secret DSA key when a few bits of the random nonces k (used at each signature generation) are known ...
Phong Q. Nguyen, Igor Shparlinski
PACT
2009
Springer
15 years 8 months ago
Parallel Evidence Propagation on Multicore Processors
In this paper, we design and implement an efficient technique for parallel evidence propagation on state-of-the-art multicore processor systems. Evidence propagation is a major ste...
Yinglong Xia, Xiaojun Feng, Viktor K. Prasanna