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ICML
2008
IEEE
15 years 12 months ago
Apprenticeship learning using linear programming
In apprenticeship learning, the goal is to learn a policy in a Markov decision process that is at least as good as a policy demonstrated by an expert. The difficulty arises in tha...
Umar Syed, Michael H. Bowling, Robert E. Schapire
IISWC
2006
IEEE
15 years 5 months ago
Load Instruction Characterization and Acceleration of the BioPerf Programs
The load instructions of some of the bioinformatics applications in the BioPerf suite possess interesting characteristics: only a few static loads cover almost the entire dynamic ...
Paruj Ratanaworabhan, Martin Burtscher
FIDJI
2003
Springer
15 years 4 months ago
Model Generation for Distributed Java Programs
— We present techniques for analyzing the source code of distributed Java applications, and building finite models of their behaviour. The models are labelled transition systems...
Rabéa Boulifa, Eric Madelaine
94
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CIAC
1997
Springer
111views Algorithms» more  CIAC 1997»
15 years 3 months ago
A Meticulous Analysis of Mergesort Programs
The efficiency of mergesortprogramsis analysed under a simple unit-cost model. In our analysis the time performance of the sorting programs includes the costs of key comparisons, e...
Jyrki Katajainen, Jesper Larsson Träff
ICLP
2010
Springer
15 years 2 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens