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. ...
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. ...
The success of schema integration in multidatabase systems relies heavily on the determination of complete and refined correspondence relationships between them. So, the candidate...
: 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...
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...