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» Predictive Matrix-Variate t Models
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NIPS
2001
15 years 8 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
IM
2003
15 years 8 months ago
A Revenue-based Model for Making Resource Investment Decisions in IP Networks
: Capacity planning is a critical task in network management. It identifies how much capacity is needed to match future traffic demand. It directly affects customer satisfaction ...
Srinivasan Jagannathan, Jörn Altmann, Lee Rho...
BMCBI
2005
108views more  BMCBI 2005»
15 years 7 months ago
The modeled structure of the RNA dependent RNA polymerase of GBV-C Virus suggests a role for motif E in Flaviviridae RNA polymer
Background: The Flaviviridae virus family includes major human and animal pathogens. The RNA dependent RNA polymerase (RdRp) plays a central role in the replication process, and t...
François Ferron, Cécile Bussetta, H&...
BMCBI
2007
127views more  BMCBI 2007»
15 years 7 months ago
Characterization and simulation of cDNA microarray spots using a novel mathematical model
Background: The quality of cDNA microarray data is crucial for expanding its application to other research areas, such as the study of gene regulatory networks. Despite the fact t...
Hye Young Kim, Seo Eun Lee, Min Jung Kim, Jin Il H...
CHI
2002
ACM
16 years 7 months ago
Automating CPM-GOMS
CPM-GOMS is a modeling method that combines the task decomposition of a GOMS analysis with a model of human resource usage at the level of cognitive, perceptual, and motor operati...
Bonnie E. John, Alonso H. Vera, Michael Matessa, M...