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167
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NIPS
2001
15 years 6 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
ISMB
1998
15 years 6 months ago
Modeling Protein Homopolymeric Repeats: Possible Polyglutamine Structural Motifs for Huntington's Disease
Wedescribe a prototype system (Poly-X) for assisting an expert user in modelingprotein repeats. Poly-X reduces the large numberof degrees of freedomrequired to specify a protein m...
Richard H. Lathrop, Malcolm S. Casale, Douglas J. ...
DLOG
1996
15 years 6 months ago
Resolving Semantic Heterogeneity in Databases with a Terminological Model: Correspondence Refinement
The success of schema integration in multidatabase systems relies heavily on the determination of complete and refined correspondence relationships between them. So, the candidate...
Ounissa Larab, Aïcha-Nabila Benharkat
WETICE
2005
IEEE
15 years 10 months ago
Minimum intrusion Grid - The Simple Model
: This paper describes the key ideas in the new Grid model: MiG (Minimum intrusion Grid). “The Simple Model” is a major milestone in developing the full MiG concept and when co...
Henrik Hoey Karlsen, Brian Vinter
115
Voted
JGS
2010
89views more  JGS 2010»
14 years 11 months ago
Spatial models with spatially lagged dependent variables and incomplete data
The purpose of this paper is to suggest estimators for the parameters of spatial models containing a spatially lagged dependent variable, as well as spatially lagged independent va...
Harry H. Kelejian, Ingmar R. Prucha