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IJCAI
1989
14 years 22 hour ago
Selective Learning of Macro-operators with Perfect Causality
A macro-operator is an integrated operator consisting of plural primitive operators and enables a problem solver to solve more efficiently. However, if a learning system generates...
Seiji Yamada, Sabinro Tsuji
CHI
2007
ACM
14 years 2 months ago
Capturing, sharing, and using local place information
With new technology, people can share information about everyday places they go; the resulting data helps others find and evaluate places. Recent applications like Dodgeball and S...
Pamela J. Ludford, Reid Priedhorsky, Ken Reily, Lo...
DATE
2004
IEEE
175views Hardware» more  DATE 2004»
14 years 2 months ago
Breaking Instance-Independent Symmetries in Exact Graph Coloring
Code optimization and high level synthesis can be posed as constraint satisfaction and optimization problems, such as graph coloring used in register allocation. Graph coloring is...
Arathi Ramani, Fadi A. Aloul, Igor L. Markov, Kare...
ATAL
2007
Springer
14 years 5 months ago
Extending character-based storytelling with awareness and feelings
Most Interactive Storytelling systems developed to date have followed a task-based approach to story representation, using planning techniques to drive the story by generating a s...
David Pizzi, Marc Cavazza, Jean-Luc Lugrin
ICML
1998
IEEE
14 years 11 months ago
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach
Genetic Programming (GP) is a machine learning technique that was not conceived to use domain knowledge for generating new candidate solutions. It has been shown that GP can bene ...
Ricardo Aler, Daniel Borrajo, Pedro Isasi