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» Mind Change Complexity of Learning Logic Programs
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AISADM
2005
Springer
13 years 10 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky
LFCS
1992
Springer
13 years 8 months ago
Machine Learning of Higher Order Programs
A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of ...
Ganesh Baliga, John Case, Sanjay Jain, Mandayam Su...
COLT
1999
Springer
13 years 8 months ago
On a Generalized Notion of Mistake Bounds
This paper proposes the use of constructive ordinals as mistake bounds in the on-line learning model. This approach elegantly generalizes the applicability of the on-line mistake ...
Sanjay Jain, Arun Sharma
COLT
1992
Springer
13 years 8 months ago
On Learning Limiting Programs
Machine learning of limit programs (i.e., programs allowed finitely many mind changes about their legitimate outputs) for computable functions is studied. Learning of iterated lim...
John Case, Sanjay Jain, Arun Sharma
FPGA
2001
ACM
137views FPGA» more  FPGA 2001»
13 years 9 months ago
Detailed routing architectures for embedded programmable logic IP cores
As the complexity of integrated circuits increases, the ability to make post-fabrication changes to fixed ASIC chips will become more and more attractive. This ability can be real...
Peter Hallschmid, Steven J. E. Wilton