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ISNN
2007
Springer
14 years 2 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
AAAI
2006
13 years 9 months ago
Decision Making in Uncertain Real-World Domains Using DT-Golog
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
Mikhail Soutchanski, Huy Pham, John Mylopoulos
WINET
2010
127views more  WINET 2010»
13 years 6 months ago
A Markov Decision Process based flow assignment framework for heterogeneous network access
We consider a scenario where devices with multiple networking capabilities access networks with heterogeneous characteristics. In such a setting, we address the problem of effici...
Jatinder Pal Singh, Tansu Alpcan, Piyush Agrawal, ...
ICC
2007
IEEE
160views Communications» more  ICC 2007»
14 years 2 months ago
Adaptive Game-Based Radio Spectrum Allocation in Doubly Selective Fading Channels
— For cognitive radio networks, a popular approach to dynamic spectrum allocation (DSA) is game theoretic, which improves spectrum efficiency in a distributed manner. In a doubl...
Duo Zhang, Zhi Tian
ICPR
2004
IEEE
14 years 9 months ago
From Massively Parallel Image Processors to Fault-Tolerant Nanocomputers
Parallel processors such as SIMD computers have been successfully used in various areas of high performance image and data processing. Due to their characteristics of highly regula...
Jie Han, Pieter Jonker