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NIPS
1996
15 years 8 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
CN
2010
160views more  CN 2010»
15 years 7 months ago
ABS: Adaptive buffer sizing for heterogeneous networks
Most existing criteria [3], [5], [8] for sizing router buffers rely on explicit formulation of the relationship between buffer size and characteristics of Internet traffic. However...
Yueping Zhang, Dmitri Loguinov
INFOCOM
2010
IEEE
15 years 5 months ago
Multicast Scheduling with Cooperation and Network Coding in Cognitive Radio Networks
—Cognitive Radio Networks (CRNs) have recently emerged as a promising technology to improve spectrum utilization by allowing secondary users to dynamically access idle primary ch...
Jin Jin, Hong Xu, Baochun Li
JOT
2007
119views more  JOT 2007»
15 years 6 months ago
Observer-Conditioned-Observable Design Pattern
The Observer-Conditioned-Observable (OCO) combines digitizing and transcoding of numeric change events. During the processing of numeric events, the transcoder converts the number...
Douglas A. Lyon, Carl F. R. Weiman
BIOINFORMATICS
2011
15 years 1 months ago
Inverse perturbation for optimal intervention in gene regulatory networks
Motivation: Analysis and intervention in the dynamics of gene regulatory networks is at the heart of emerging efforts in the development of modern treatment of numerous ailments i...
Nidhal Bouaynaya, Roman Shterenberg, Dan Schonfeld