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» Decision making in very large networks
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GECCO
2004
Springer
155views Optimization» more  GECCO 2004»
14 years 2 months ago
Genetic Network Programming with Reinforcement Learning and Its Performance Evaluation
A new graph-based evolutionary algorithm named “Genetic Network Programming, GNP” has been proposed. GNP represents its solutions as directed graph structures, which can improv...
Shingo Mabu, Kotaro Hirasawa, Jinglu Hu
ICONIP
1998
13 years 10 months ago
Summation Characteristics of PDM Digital Neural Network System
A PDM (Pulse Density Modulating) digital neural network system, which consists of 1,000 neurons physically interconnected by one million 7-bit synapses, was developed in our labor...
Hideki Toda, Yuzo Hirai
ICML
2005
IEEE
14 years 9 months ago
Naive Bayes models for probability estimation
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
Daniel Lowd, Pedro Domingos
WISE
2002
Springer
14 years 1 months ago
An MDP-based Peer-to-Peer Search Server Network
A distributed search system consists of a large number of autonomous search servers logically connected in a peerto-peer network. Each search server maintains a local index of a c...
Yipeng Shen, Dik Lun Lee
MONET
2006
141views more  MONET 2006»
13 years 8 months ago
An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
Ritesh Madan, Sanjay Lall