Random neural network

Results: 54



#Item
21Perceptron / Linear classifier / Boosting / Support vector machine / AdaBoost / Artificial neural network / Backpropagation / Statistical classification / Ensemble learning / Machine learning / Statistics / Neural networks

Perceptron Learning with Random Coordinate Descent Ling Li Learning Systems Group, California Institute of Technology Abstract. A perceptron is a linear threshold classifier that separates examples with a hyperplane. It

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Source URL: www.work.caltech.edu

Language: English - Date: 2006-04-22 18:28:41
22Computational neuroscience / Computational statistics / Artificial neural network / Feedforward neural network / Malware / Supervised learning / Backpropagation / Logistic regression / Linear classifier / Statistics / Neural networks / Machine learning

LARGE-SCALE MALWARE CLASSIFICATION USING RANDOM PROJECTIONS AND NEURAL NETWORKS George E. Dahl Jack W. Stokes, Li Deng, Dong Yu

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Source URL: www.cs.toronto.edu

Language: English - Date: 2013-03-19 23:11:01
23Machine learning / Decision trees / Naive Bayes classifier / Statistical classification / Weka / Artificial neural network / Sampling / Cluster analysis / Random forest / Statistics / Data analysis / Data mining

40165_2014_10_Article 1..25

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Source URL: www.decisionanalyticsjournal.com

Language: English
24Pattern recognition / Supervised learning / Semi-supervised learning / Neural network / Data mining / Random forest / Computational learning theory / Ensemble learning / Markov chain Monte Carlo / Machine learning / Artificial intelligence / Learning

Computer Science “Professor Zhou’s book is a comprehensive introduction to ensemble methods in machine learning. It reviews the latest research in this exciting area. I learned a lot reading it!” —Thomas G. Diet

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Source URL: www.islab.ntua.gr

Language: English - Date: 2015-02-05 08:23:09
25Artificial intelligence / Applied mathematics / Computational neuroscience / Conditional random field / Theoretical computer science / Recurrent neural network / Information extraction / Speech recognition / Dynamic programming / Neural networks / Science / Cybernetics

RECURRENT CONDITIONAL RANDOM FIELD FOR LANGUAGE UNDERSTANDING Kaisheng Yao1 , Baolin Peng1,2 , Geoffrey Zweig1 , Dong Yu1 , Xiaolong Li1 , and Feng Gao1 1 2

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Source URL: research.microsoft.com

Language: English - Date: 2014-05-22 12:57:20
26Neuroscience / Science / Artificial neural network / Cellular neural network / Random neural network / Computational neuroscience / Neural networks / Cybernetics

RECENT DEVELOPMENTS IN THE APPLICATION OF NEURAL NETWORK ANALYSIS TO ARC HITECTURAL AND BUILDING ACOUSTICS J oseph Naunarteuo, :\1. Rjd uen Osman and Fergus R. Fricke p.,pll.rt m~ nl of An:hit~du r.1 and

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Source URL: www.acoustics.asn.au

Language: English - Date: 2011-05-02 01:07:49
27Statistics / Artificial neural network / Institute of Electrical and Electronics Engineers / Growing self-organizing map / Self-organizing map / Learning Vector Quantization / Random neural network / Teuvo Kohonen / Neural networks / Machine learning / Cybernetics

5384 works that have been based on the Self-Organizing Map (SOM) method developed by Kohonen Part II, authors from L to Z Compiled in the Neural Networks Resear h Centre at Helsinki University

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Source URL: www.cis.hut.fi

Language: English - Date: 2010-01-04 03:39:05
28Perceptron / Multilayer perceptron / Maximum likelihood / Artificial neuron / Random forest / Activation function / Decision tree learning / Backpropagation / Artificial neural network / Neural networks / Machine learning / Statistics

Neural Decision Forests for Semantic Image Labelling Samuel Rota Bul`o Fondazione Bruno Kessler Trento, Italy Peter Kontschieder

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Source URL: www.dsi.unive.it

Language: English - Date: 2014-04-15 04:23:50
29Science / Artificial neural network / Neuro-fuzzy / Institute of Electrical and Electronics Engineers / Perceptron / Random neural network / Cellular neural network / Neural networks / Cybernetics / Machine learning

5384 works that have been based on the Self-Organizing Map (SOM) method developed by Kohonen Part I, authors from A to K Compiled in the Neural Networks Research Centre at Helsinki University of Technology

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Source URL: www.cis.hut.fi

Language: English - Date: 2010-01-04 03:38:56
30Cybernetics / Neuroscience / Network architecture / Networks / Artificial neural network / Paul Werbos / Connectionism / Cerebellar Model Articulation Controller / Random neural network / Computational neuroscience / Neural networks / Science

Bibliography [1] George Adelman, editor. Encyclopedia of Neuroscience, volume I. Birkh¨auser, [removed]J.S. Albus. Data storage in the cerebellar model articulation controller (CMAC). Transactions of the ASME: Journal

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Source URL: www.q12.org

Language: English - Date: 2002-03-13 22:46:14
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