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» The Convergence of Iterated Classification
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IJCNN
2000
IEEE
15 years 4 months ago
A Training Method with Small Computation for Classification
A training data selection method for multi-class data is proposed. This method can be used for multilayer neural networks (MLNN). The MLNN can be applied to pattern classification...
Kazuyuki Hara, Kenji Nakayama
ICANN
2007
Springer
15 years 2 months ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada
89
Voted
PAMI
2007
113views more  PAMI 2007»
15 years 6 days ago
Analytical Results on Style-Constrained Bayesian Classification of Pattern Fields
—We formalize the notion of style context, which accounts for the increased accuracy of the field classifiers reported in this journal recently. We argue that style context forms...
Sriharsha Veeramachaneni, George Nagy
COLT
2010
Springer
14 years 10 months ago
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...
John Duchi, Elad Hazan, Yoram Singer
95
Voted
ICIP
2008
IEEE
16 years 2 months ago
Image retrieval and classification using associative reciprocal-image attractors
In this paper, image processing and symbol processing are bridged with a common framework. A new computational architecture allows arbitrary fixed images to be used as attractors ...
Douglas S. Greer, Mihran Tuceryan