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IJCAI
1989
15 years 7 months ago
Constrained Heuristic Search
Cognitive architectures aspire for generality both in terms of problem solving and learning across a range of problems, yet to date few examples of domain independent learning has...
Mark S. Fox, Norman M. Sadeh, Can A. Baykan
AIPS
2010
15 years 9 months ago
Cost-Optimal Factored Planning: Promises and Pitfalls
Factored planning methods aim to exploit locality to efficiently solve large but "loosely coupled" planning problems by computing solutions locally and propagating limit...
Eric Fabre, Loig Jezequel, Patrik Haslum, Sylvie T...
ICANN
2009
Springer
15 years 11 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
HICSS
2000
IEEE
134views Biometrics» more  HICSS 2000»
15 years 11 months ago
Peer-to-Peer Valuation as a Mechanism for Reinforcing Active Learning in Virtual Communities: Actualizing Social Exchange Theory
As knowledge becomes the primary focus of work in many industries, virtual communities and groups are emerging as part of new organizational forms. Within these virtual forms, eff...
Amrit Tiwana, Ashley A. Bush
ICTAI
2007
IEEE
16 years 26 days ago
Hypergraph Partitioning for Exploiting Localities in Nonlinear Constrained Optimization
In this paper, we present a new hypergraph partitioning algorithm that jointly optimizes the number of hyperedge cuts and the number of shared vertices in nonlinear constrained op...
Benjamin W. Wah, Soomin Lee