Perceptron

Results: 860



#Item
141Statistics / Science / Computational statistics / Artificial neural network / Perceptron / Multilayer perceptron / Computer facial animation / Computer animation / Speech recognition / Neural networks / Computational neuroscience / Cybernetics

Lip Synchronization by Acoustic Inversion Gregor Hofer∗ University of Edinburgh Korin Richmond† University of Edinburgh

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2010-11-09 09:30:06
142Ensemble learning / Learning / Neural networks / Perceptron / Computational learning theory / Boosting / Generalization error / Bootstrap aggregating / Statistical classification / Machine learning / Artificial intelligence / Computational statistics

Complements to ‘Pattern Recognition and Neural Networks’ by B.D. Ripley Cambridge University Press, 1996, ISBN

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Source URL: www.stats.ox.ac.uk

Language: English - Date: 1997-04-20 05:18:14
143Science / Perceptron / Artificial neuron / Multilayer perceptron / Backpropagation / Nonlinear system / Radial basis function network / Feedforward neural network / Neural networks / Cybernetics / Statistics

Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm

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Source URL: www.complex-systems.com

Language: English - Date: 2013-03-26 14:30:36
144Cybernetics / Artificial neural network / Artificial neuron / Perceptron / Backpropagation / Radial basis function network / Data mining / Neural networks / Machine learning / Statistics

Ehret et al. Genetics Selection Evolution:22 DOIs12711Ge n e t i c s Se l e c t i o n Ev o l u t i o n

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Source URL: www.gsejournal.org

Language: English
145Discriminative model / Hidden Markov model / Generalized linear model / Maximum likelihood / Statistical model / Statistical classification / Logistic function / Mixture model / Perceptron / Statistics / Machine learning / Conditional random field

Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University

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Source URL: www.cs.iastate.edu

Language: English - Date: 2004-09-12 21:34:08
146Artificial intelligence / Learning / Perceptron / Support vector machine / AdaBoost / Margin classifier / Boosting / Multiclass classification / Statistics / Statistical classification / Ensemble learning

Multiclass Boosting with Repartitioning Ling Li Learning Systems Group, California Institute of Technology, Pasadena, CA 91125, USA Abstract

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Source URL: www.work.caltech.edu

Language: English - Date: 2006-04-25 06:05:42
147Ensemble learning / AdaBoost / Boosting / Supervised learning / Perceptron / Statistical classification / Alternating decision tree / Machine learning / Artificial intelligence / Learning

LEARN++: AN INCREMENTAL LEARNING ALGORITHM FOR MULTILAYER PERCEPTRON NETWORKS R. Polikar*, L.Udpa*, S.S. Udpa*,**V. Honavar** *Dept. of Electrical and Computer Engineering, Dept. of Computer Science Iowa State University

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Source URL: www.cs.iastate.edu

Language: English - Date: 2005-02-05 22:00:52
148Mathematics / Stochastic gradient descent / Differential privacy / Perceptron / Gradient descent / Mathematical optimization / Stochastic approximation / Algorithm / Numerical analysis / Stochastic optimization / Applied mathematics

Stochastic gradient descent with differentially private updates Shuang Song Kamalika Chaudhuri

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Source URL: cseweb.ucsd.edu

Language: English - Date: 2014-02-01 13:52:02
149Linguistics / Human–computer interaction / N-gram / Vocapia Research / Acoustic model / Transcription / Multilayer perceptron / Neural network / Phonetics / Speech recognition / Computational linguistics / Science

The Vocapia Research ASR Systems for Evalita 2011 Julien Despres1 , Lori Lamel1,2 , Jean-Luc Gauvain1,2 , Bianca Vieru1 , C´ecile Woehrling1 , Viet Bac Le1 , and Ilya Oparin2 1

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Source URL: www.vocapia.com

Language: English - Date: 2012-01-21 13:31:54
150Machine learning / Support vector machine / Mathematical optimization / Perceptron / Learning / Artificial intelligence / Statistics / Neural networks / Empirical risk minimization

On-line learning Where are we so far? Antoine Cornuéjols MMIP, AgroParisTech, Paris Int. workshop on Data Stream Management and Mining

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Source URL: www.lri.fr

Language: English - Date: 2008-11-05 12:48:40
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