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IJCNN
2007
IEEE
16 years 28 days ago
Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers
— Solvers for the Boolean satisfiability problem are an important base technology for many applications. The most efficient SAT solvers for industrial applications are based on...
Raihan H. Kibria
AIPS
2008
15 years 9 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
AAAI
1994
15 years 8 months ago
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas
We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
Steven Minton, Ian Underwood
DSS
2008
121views more  DSS 2008»
15 years 6 months ago
SpidersRUs: Creating specialized search engines in multiple languages
While small-scale search engines in specific domains and languages are increasingly used by Web users, most existing search engine development tools do not support the development...
Michael Chau, Jialun Qin, Yilu Zhou, Chunju Tseng,...
IUI
2005
ACM
16 years 5 days ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....