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» Neural networks: Algorithms and applications
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BMCBI
2010
174views more  BMCBI 2010»
15 years 28 days ago
The effect of prior assumptions over the weights in BayesPI with application to study protein-DNA interactions from ChIP-based h
Background: To further understand the implementation of hyperparameters re-estimation technique in Bayesian hierarchical model, we added two more prior assumptions over the weight...
Junbai Wang
IPSN
2007
Springer
15 years 7 months ago
Wireless localization using self-organizing maps
Localization is an essential service for many wireless sensor network applications. While several localization schemes rely on anchor nodes and range measurements to achieve fine...
Gianni Giorgetti, Sandeep K. S. Gupta, Gianfranco ...
TNN
1998
92views more  TNN 1998»
15 years 14 days ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
91
Voted
CJ
2008
108views more  CJ 2008»
15 years 28 days ago
Computing with Time: From Neural Networks to Sensor Networks
This article advocates a new computing paradigm, called computing with time, that is capable of efficiently performing a certain class of computation, namely, searching in paralle...
Boleslaw K. Szymanski, Gilbert Chen
95
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NCA
2006
IEEE
15 years 23 days ago
Neural network modelling of word production in Finnish: coding semantic and non-semantic features
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
Antti Järvelin, Martti Juhola, Matti Laine