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FOCI
2007
IEEE
16 years 13 days ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ICC
2007
IEEE
145views Communications» more  ICC 2007»
16 years 13 days ago
Adaptive Radial Basis Function Detector for Beamforming
— We consider nonlinear detection in rank-deficient multiple-antenna assisted beamforming systems. By exploiting the inherent symmetry of the underlying optimal Bayesian detecti...
Sheng Chen, Khaled Labib, Rong Kang, Lajos Hanzo
LICS
2007
IEEE
16 years 11 days ago
Limits of Multi-Discounted Markov Decision Processes
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
Hugo Gimbert, Wieslaw Zielonka
IAT
2005
IEEE
15 years 11 months ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
INFOCOM
2005
IEEE
15 years 11 months ago
Spatial energy balancing in large-scale wireless multihop networks
— In this paper we investigate the use of proactive multipath routing to achieve energy efficient operation of ad hoc wireless networks. The focus is on optimizing trade-offs be...
Seung Jun Baek, Gustavo de Veciana