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» Optimality Theory and the Generative Complexity of Constrain...
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STOC
2009
ACM
163views Algorithms» more  STOC 2009»
14 years 8 months ago
Non-monotone submodular maximization under matroid and knapsack constraints
Submodular function maximization is a central problem in combinatorial optimization, generalizing many important problems including Max Cut in directed/undirected graphs and in hy...
Jon Lee, Vahab S. Mirrokni, Viswanath Nagarajan, M...
POPL
2011
ACM
12 years 10 months ago
Decidable logics combining heap structures and data
We define a new logic, STRAND, that allows reasoning with heapmanipulating programs using deductive verification and SMT solvers. STRAND logic (“STRucture ANd Data” logic) f...
P. Madhusudan, Gennaro Parlato, Xiaokang Qiu
PODS
2006
ACM
138views Database» more  PODS 2006»
14 years 8 months ago
Efficiently ordering subgoals with access constraints
d Abstract] Guizhen Yang Artificial Intelligence Center SRI International Menlo Park, CA 94025, USA Michael Kifer Dept. of Computer Science Stony Brook University Stony Brook, NY 1...
Guizhen Yang, Michael Kifer, Vinay K. Chaudhri
ATAL
2007
Springer
14 years 2 months ago
Letting loose a SPIDER on a network of POMDPs: generating quality guaranteed policies
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...
AUTOMATICA
2008
139views more  AUTOMATICA 2008»
13 years 8 months ago
Structured low-rank approximation and its applications
Fitting data by a bounded complexity linear model is equivalent to low-rank approximation of a matrix constructed from the data. The data matrix being Hankel structured is equival...
Ivan Markovsky