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ML
2007
ACM
156views Machine Learning» more  ML 2007»
15 years 4 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
SIAMMAX
2010
189views more  SIAMMAX 2010»
14 years 11 months ago
Fast Algorithms for the Generalized Foley-Sammon Discriminant Analysis
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Lei-Hong Zhang, Li-Zhi Liao, Michael K. Ng
PLDI
2012
ACM
13 years 7 months ago
Effective parallelization of loops in the presence of I/O operations
Software-based thread-level parallelization has been widely studied for exploiting data parallelism in purely computational loops to improve program performance on multiprocessors...
Min Feng, Rajiv Gupta, Iulian Neamtiu
DAC
2008
ACM
16 years 6 months ago
Specify-explore-refine (SER): from specification to implementation
Driven by increasing complexity and reliability demands, the Japanese Aerospace Exploration Agency (JAXA) in 2004 commissioned development of ELEGANT, a complete SpecC-based envir...
Andreas Gerstlauer, Junyu Peng, Dongwan Shin, Dani...
DAC
2004
ACM
16 years 6 months ago
A SAT-based algorithm for reparameterization in symbolic simulation
Parametric representations used for symbolic simulation of circuits usually use BDDs. After a few steps of symbolic simulation, state set representation is converted from one para...
Pankaj Chauhan, Edmund M. Clarke, Daniel Kroening
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