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AI
2002
Springer
13 years 7 months ago
Programming backgammon using self-teaching neural nets
TD-Gammon is a neural network that is able to teach itself to play backgammon solely by playing against itself and learning from the results. Starting from random initial play, TD...
Gerald Tesauro
HPDC
1996
IEEE
13 years 12 months ago
Legion - A View from 50, 000 Feet
' The coming of giga-bit networks makes possible the realization ofa single nationwide virtual computer comprised of a variety of geographically distributed highpe6ormance mac...
Andrew S. Grimshaw, William A. Wulf
MSR
2006
ACM
14 years 1 months ago
Using evolutionary annotations from change logs to enhance program comprehension
Evolutionary annotations are descriptions of how source code evolves over time. Typical source comments, given their static nature, are usually inadequate for describing how a pro...
Daniel M. Germán, Peter C. Rigby, Margaret-...
AOSD
2006
ACM
14 years 1 months ago
Towards supporting on-demand virtual remodularization using program graphs
OOP style requires programmers to organize their code according to objects (or nouns, using natural language as a metaphor), causing a program’s actions (verbs) to become scatte...
David Shepherd, Lori L. Pollock, K. Vijay-Shanker
JASIS
2000
143views more  JASIS 2000»
13 years 7 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng