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» Terminating Decision Algorithms Optimally
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ICCAD
1997
IEEE
117views Hardware» more  ICCAD 1997»
15 years 7 months ago
Decomposition of timed decision tables and its use in presynthesis optimizations
Presynthesis optimizations transform a behavioral HDL description into an optimized HDL description that results in improved synthesis results. In this paper we introduce the decom...
Jian Li, Rajesh K. Gupta
AUSAI
2008
Springer
15 years 4 months ago
An Optimality Principle for Concurrent Systems
Abstract. This paper presents a formulation of an optimality principle for a new class of concurrent decision systems formed by products of deterministic Markov decision processes ...
Langford B. White, Sarah L. Hickmott
ICML
2004
IEEE
16 years 3 months ago
Lookahead-based algorithms for anytime induction of decision trees
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
CDC
2010
IEEE
141views Control Systems» more  CDC 2010»
14 years 10 months ago
A dynamic programming algorithm for decentralized Markov decision processes with a broadcast structure
We give an optimal dynamic programming algorithm to solve a class of finite-horizon decentralized Markov decision processes (MDPs). We consider problems with a broadcast informati...
Jeff Wu, Sanjay Lall
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
15 years 4 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa