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AAAI
2007
14 years 19 days ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman
AAAI
2008
14 years 19 days ago
What Is Answer Set Programming?
Answer set programming (ASP) is a form of declarative programming oriented towards difficult search problems. As an outgrowth of research on the use of nonmonotonic reasoning in k...
Vladimir Lifschitz
AIPS
2006
13 years 11 months ago
Probabilistic Planning with Nonlinear Utility Functions
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
Yaxin Liu, Sven Koenig
FLAIRS
2003
13 years 11 months ago
MDL-Based Context-Free Graph Grammar Induction
We present an algorithm for the inference of context-free graph grammars from examples. The algorithm builds on an earlier system for frequent substructure discovery, and is biase...
Istvan Jonyer, Lawrence B. Holder, Diane J. Cook
AAAI
1998
13 years 11 months ago
Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
Justin A. Boyan, Andrew W. Moore