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ICML
1994
IEEE
13 years 11 months ago
Combining Top-down and Bottom-up Techniques in Inductive Logic Programming
This paper describes a new methodfor inducing logic programs from examples which attempts to integrate the best aspects of existingILP methodsintoa singlecoherent framework. In pa...
John M. Zelle, Raymond J. Mooney, Joshua B. Konvis...
IEEECIT
2010
IEEE
13 years 6 months ago
Application of Concept Maps-based Anchored Instruction in Programming Course
—In need of interesting material and effective teaching approach in programming learning, students were ely to drop out of the course for the abstract concepts and complex struct...
Liu Li, Haijun Mao, Licheng Xu
ICML
2009
IEEE
14 years 8 months ago
Constraint relaxation in approximate linear programs
Approximate Linear Programming (ALP) is a reinforcement learning technique with nice theoretical properties, but it often performs poorly in practice. We identify some reasons for...
Marek Petrik, Shlomo Zilberstein
ANCS
2008
ACM
13 years 10 months ago
Design of a scalable network programming framework
Nearly all programmable commercial hardware solutions offered for high-speed networking systems are capable of meeting the performance and flexibility requirements of equipment ve...
Ben Wun, Patrick Crowley, Arun Raghunath
SEAL
1998
Springer
14 years 2 days ago
Genetic Programming with Active Data Selection
Genetic programming evolves Lisp-like programs rather than fixed size linear strings. This representational power combined with generality makes genetic programming an interesting ...
Byoung-Tak Zhang, Dong-Yeon Cho