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» Domain Modeling of Software Process Models
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SAC
2005
ACM
16 years 4 days ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
NIPS
2007
15 years 8 months ago
Robust Regression with Twinned Gaussian Processes
We propose a Gaussian process (GP) framework for robust inference in which a GP prior on the mixing weights of a two-component noise model augments the standard process over laten...
Andrew Naish-Guzman, Sean B. Holden
IJCAI
2007
15 years 8 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
DATE
2009
IEEE
151views Hardware» more  DATE 2009»
16 years 1 months ago
pTest: An adaptive testing tool for concurrent software on embedded multicore processors
—More and more processor manufacturers have launched embedded multicore processors for consumer electronics products because such processors provide high performance and low powe...
Shou-Wei Chang, Kun-Yuan Hsieh, Jenq Kuen Lee
BPM
2003
Springer
121views Business» more  BPM 2003»
15 years 11 months ago
Towards a Library for Process Programming
Process programming is regarded as a critical approach in many cooperative process related areas including software engineering, workflow management, business process management, e...
Guangxin Yang