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» Requirements for an Elucidative Programming Environment
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AI
1998
Springer
13 years 4 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ICPADS
2010
IEEE
13 years 2 months ago
Enhancing MapReduce via Asynchronous Data Processing
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
Marwa Elteir, Heshan Lin, Wu-chun Feng
AOSD
2011
ACM
12 years 12 months ago
Experiences documenting and preserving software constraints using aspects
Software systems are increasingly being built as compositions of reusable artifacts (components, frameworks, toolkits, plug-ins, APIs, etc) that have non-trivial usage constraints...
Roberto Silveira Silva Filho, François Bron...
BMCBI
2011
12 years 11 months ago
iPhy: an integrated phylogenetic workbench for supermatrix analyses
Background: The increasing availability of molecular sequence data means that the accuracy of future phylogenetic studies is likely to by limited by systematic bias and taxon choi...
Martin O. Jones, Georgios D. Koutsovoulos, Mark L....