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ISADS
1999
IEEE
13 years 11 months ago
Emergence of Communication for Negotiation by a Recurrent Neural Network
We believe that communication in multi-agent system has two major meanings. One of them is to transmit one agent's observed information to the other. The other meaning is to ...
Katsunari Shibata, Koji Ito
JMLR
2002
133views more  JMLR 2002»
13 years 7 months ago
Learning Precise Timing with LSTM Recurrent Networks
The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
IFIP12
2004
13 years 8 months ago
Ensembles of Multi-Instance Neural Networks
: Recently, multi-instance classification algorithm BP-MIP and multi-instance regression algorithm BP-MIR both based on neural networks have been proposed. In this paper, neural ne...
Min-Ling Zhang, Zhi-Hua Zhou
IJCNN
2006
IEEE
14 years 1 months ago
Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron
— The present paper is devoted to the exploration of the properties of the simple spiking neuron model and quantification of the information transfer rate, which the separate neu...
Alexei V. Ivanov, Alexander A. Petrovsky
BROADNETS
2007
IEEE
13 years 11 months ago
Reinforcement learning based routing in all-optical networks with physical impairments
Abstract-- We present and evaluate a reinforcement learningbased RWA algorithm for all-optical networks subject to physical impairments. The technique is suitable for decentralized...
Yvan Pointurier, Fariba Heidari