3378 search results - page 80 / 676 » Learning in Friedberg Numberings |
88
Voted
NN
2006
Springer
15 years 16 days ago
2006
Springer
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
168
Voted
GECCO
2007
Springer
15 years 6 months ago
2007
Springer
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
134
Voted
AIR
2006
15 years 19 days ago
2006
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
135
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ISNN
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
87
Voted
CDC
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we study multiple target detection using Bayesian learning. The main aim of the paper is to present a computationally efficient way to compute the belief map update ...