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SAMOS
2010
Springer
15 years 28 days ago
Identifying communication models in Process Networks derived from Weakly Dynamic Programs
—Process Networks (PNs) is an appealing computation ion helping to specify an application in parallel form and realize it on parallel platforms. The key questions to be answered ...
Dmitry Nadezhkin, Todor Stefanov
129
Voted
FASE
2000
Springer
15 years 6 months ago
A Process Algebra for Real-Time Programs
Abstract. We introduce a generalised notion of a real-time speci cation language (\GPLC-Automata") that can be translated directly into real-time programs. In order to describ...
Henning Dierks
126
Voted
AIPS
2004
15 years 4 months ago
Heuristic Refinements of Approximate Linear Programming for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) offers a promising framework for solving large factored Markov decision processes (MDPs) with both discrete and continuous states. Successful ...
Branislav Kveton, Milos Hauskrecht
119
Voted
EMNLP
2010
15 years 16 days ago
On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing
This paper introduces dual decomposition as a framework for deriving inference algorithms for NLP problems. The approach relies on standard dynamic-programming algorithms as oracl...
Alexander M. Rush, David Sontag, Michael Collins, ...
OL
2011
177views Neural Networks» more  OL 2011»
14 years 5 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann