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» An Approach to use Executable Models for Testing
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119
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ACL
2009
15 years 1 months ago
Reinforcement Learning for Mapping Instructions to Actions
In this paper, we present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. We assume access to a reward function tha...
S. R. K. Branavan, Harr Chen, Luke S. Zettlemoyer,...
139
Voted
AIEDU
2005
185views more  AIEDU 2005»
15 years 3 months ago
A Bayesian Student Model without Hidden Nodes and its Comparison with Item Response Theory
The Bayesian framework offers a number of techniques for inferring an individual's knowledge state from evidence of mastery of concepts or skills. A typical application where ...
Michel C. Desmarais, Xiaoming Pu
SCOPES
2004
Springer
15 years 9 months ago
An Integer Linear Programming Approach to Classify the Communication in Process Networks
New embedded signal processing architectures are emerging that are composed of loosely coupled heterogeneous components like CPUs or DSPs, specialized IP cores, reconfigurable uni...
Alexandru Turjan, Bart Kienhuis, Ed F. Deprettere
114
Voted
TSP
2008
115views more  TSP 2008»
15 years 3 months ago
A Bayesian Approach to Adaptive Detection in Nonhomogeneous Environments
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
Stéphanie Bidon, Olivier Besson, Jean-Yves ...
118
Voted
IJPP
2002
107views more  IJPP 2002»
15 years 3 months ago
Efficiently Adapting Java Binaries in Limited Memory Contexts
This paper presents a compilation framework that allows executable code to be shared across different Java Virtual Machine (JVM) instances. All fully compliant JVMs that target se...
Pramod G. Joisha, Samuel P. Midkiff, Mauricio J. S...