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» Learning of Partial Languages
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159
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ICFP
1999
ACM
15 years 7 months ago
Specialization of Inductively Sequential Functional Logic Programs
Functional logic languages combine the operational principles of the most important declarative programming paradigms, namely functional and logic programming. Inductively sequent...
María Alpuente, Michael Hanus, Salvador Luc...
109
Voted
ICML
2003
IEEE
16 years 4 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
ICML
2004
IEEE
16 years 4 months ago
Learning low dimensional predictive representations
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian...
127
Voted
LFCS
1992
Springer
15 years 7 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...
141
Voted
NIPS
1994
15 years 4 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz