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NIPS
2001
15 years 7 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
IIS
2000
15 years 7 months ago
Speeding Up Evolution through Learning: LEM
This paper reports briefly on the development of a new approach to evolutionary computation, called the Learnable Evolution Model or LEM. In contrast to conventional Darwinian-typ...
Ryszard S. Michalski, Guido Cervone, Kenneth A. Ka...
JCP
2007
100views more  JCP 2007»
15 years 6 months ago
Modelling Internet End-to-End Loss Behaviors: A Congestion Control Perspective
— This paper proposes a new approach to modelling and controlling Internet end-to-end loss behaviours. Rather than select the model structure from the loss observations as being ...
Vinh Bui, Weiping Zhu, Ruhul A. Sarker
BMCBI
2004
108views more  BMCBI 2004»
15 years 6 months ago
Enhanced protein domain discovery using taxonomy
Background: It is well known that different species have different protein domain repertoires, and indeed that some protein domains are kingdom specific. This information has not ...
Lachlan James M. Coin, Alex Bateman, Richard Durbi...
TMI
2002
155views more  TMI 2002»
15 years 6 months ago
Active Shape Model Segmentation with Optimal Features
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
Bram van Ginneken, Alejandro F. Frangi, Joes Staal...