4947 search results - page 414 / 990 » Learning Module Networks |
117
click to vote
IPSN
2005
Springer
15 years 10 months ago
2005
Springer
— Over the last three years we have built and experimented with the Pushpin Computing wireless sensor network platform. The Pushpin platform is a tabletop multihop wireless senso...
138
click to vote
NN
1998
Springer
15 years 4 months ago
1998
Springer
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
133
click to vote
NETWORKS
2010
15 years 3 months ago
2010
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
718
click to vote
Tutorial
Neural networks learn by adjusting numeric values called weights and thresholds. A weight specifies how strong of a connection exists between two neurons. A threshold is a value,...
145
click to vote
NECO
2008
15 years 4 months ago
2008
In this paper we show that exponentially deep belief networks [3, 7, 4] can approximate any distribution over binary vectors to arbitrary accuracy, even when the width of each lay...