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146
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CORR
2007
Springer
104views Education» more  CORR 2007»
15 years 3 months ago
The Parameter-Less Self-Organizing Map algorithm
—The parameterless self-organizing map (PLSOM) is a new neural network algorithm based on the self-organizing map (SOM). It eliminates the need for a learning rate and annealing ...
Erik Berglund, Joaquin Sitte
133
Voted
ECAI
2008
Springer
15 years 5 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
AINA
2007
IEEE
15 years 3 months ago
Detecting Anomaly Node Behavior in Wireless Sensor Networks
Wireless sensor networks are usually deployed in a way “once deployed, never changed”. The actions of sensor nodes are either pre-scheduled inside chips or triggered to respon...
Qinghua Wang, Tingting Zhang
137
Voted
UAI
2000
15 years 5 months ago
Gaussian Process Networks
In this paper we address the problem of learning the structure of a Bayesian network in domains with continuous variables. This task requires a procedure for comparing different c...
Nir Friedman, Iftach Nachman
NEUROSCIENCE
2001
Springer
15 years 8 months ago
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
Lokendra Shastri