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NIPS
2008
13 years 10 months ago
Exact Convex Confidence-Weighted Learning
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Koby Crammer, Mark Dredze, Fernando Pereira
STOC
2004
ACM
150views Algorithms» more  STOC 2004»
14 years 9 months ago
Typical properties of winners and losers in discrete optimization
We present a probabilistic analysis for a large class of combinatorial optimization problems containing, e.g., all binary optimization problems defined by linear constraints and a...
René Beier, Berthold Vöcking
ICCAD
2007
IEEE
134views Hardware» more  ICCAD 2007»
14 years 6 months ago
Hybrid CEGAR: combining variable hiding and predicate abstraction
ion Chao Wang NEC Laboratories America Hyondeuk Kim University of Colorado Aarti Gupta NEC Laboratories America Variable hiding and predicate abstraction are two popular abstracti...
Chao Wang, Hyondeuk Kim, Aarti Gupta
POPL
2006
ACM
14 years 9 months ago
A fixpoint calculus for local and global program flows
We define a new fixpoint modal logic, the visibly pushdown ?-calculus (VP-?), as an extension of the modal ?-calculus. The models of this logic are execution trees of structured p...
Rajeev Alur, Swarat Chaudhuri, P. Madhusudan
SIGSOFT
2010
ACM
13 years 7 months ago
An effective dynamic analysis for detecting generalized deadlocks
We present an effective dynamic analysis for finding a broad class of deadlocks, including the well-studied lock-only deadlocks as well as the less-studied, but no less widespread...
Pallavi Joshi, Mayur Naik, Koushik Sen, David Gay