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ICONIP
1998
13 years 8 months ago
A Study on Initialization for BP Networks
This paper proposes an initialization of back propagation (BP) networks for pattern classification problems; the weights of hidden units are initialized so that hyperplanes should...
Hiroshi Shiratsuchi, Hiromu Gotanda, Katsuhiro Ino...
ICPR
2000
IEEE
14 years 8 months ago
Image Recognition on the Neural Network Based on Multi-Valued Neurons
Multi-valued neurons are the neural processing elements with complex-valued weights, huge functionality (it is possible to implement on the single neuron arbitrary mapping describ...
Igor N. Aizenberg, Naum N. Aizenberg, Constantine ...
NECO
2010
103views more  NECO 2010»
13 years 5 months ago
Posterior Weighted Reinforcement Learning with State Uncertainty
Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
TIT
2011
209views more  TIT 2011»
13 years 2 months ago
Belief Propagation and LP Relaxation for Weighted Matching in General Graphs
Loopy belief propagation has been employed in a wide variety of applications with great empirical success, but it comes with few theoretical guarantees. In this paper we analyze t...
Sujay Sanghavi, Dmitry M. Malioutov, Alan S. Wills...
CORR
2008
Springer
155views Education» more  CORR 2008»
13 years 7 months ago
Weighted Sum Rate Optimization for Cognitive Radio MIMO Broadcast Channels
In this paper, we consider a cognitive radio (CR) network in which the unlicensed (secondary) users are allowed to concurrently access the spectrum allocated to the licensed (prim...
Lan Zhang, Yan Xin, Ying-Chang Liang