Artificial neural network

Results: 1863



#Item
871Mathematics / Fitness landscape / Evolutionary computation / Crossover / Genetic operator / Selection / Mutation / Artificial neural network / Evolutionary algorithm / Genetic algorithms / Applied mathematics / Science

PHYSICAL REVIEW E VOLUME 57, NUMBER 4 APRIL 1998

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Source URL: www.itp.uni-bremen.de

Language: English - Date: 2011-08-10 05:51:03
872Science / Neuroscience / Neocognitron / Artificial neural network / Recurrent neural network / IDSIA / Long short term memory / Factorial code / Connectionism / Neural networks / Computational neuroscience / Cybernetics

On Fast Deep Nets for AGI Vision J¨urgen Schmidhuber, Dan Cires¸an, Ueli Meier, Jonathan Masci, Alex Graves The Swiss AI Lab IDSIA University of Lugano & SUPSI, Switzerland May 5, 2011 Abstract

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Source URL: people.idsia.ch

Language: English - Date: 2011-08-16 11:45:55
873Neural networks / Plate tectonics / Stratigraphy / Well logging / Logging while drilling / Artificial neural network / Subduction / Formation / Geology / Computational neuroscience / Petroleum production

Earth and Planetary Science Letters^312 www.elsevier.com/locate/epsl Neural network interpretation of LWD data (ODP Leg 170) con¢rms complete sediment subduction at the Costa Rica convergent margin

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Source URL: www.itp.uni-bremen.de

Language: English - Date: 2011-08-10 05:51:03
874Neuroscience / Artificial neural network / Feedforward neural network / Backpropagation / Autoencoder / Biological neural network / Winner-take-all / Multilayer perceptron / Perceptron / Neural networks / Cybernetics / Science

Compete to Compute Rupesh Kumar Srivastava, Jonathan Masci, Sohrob Kazerounian, Faustino Gomez, Jürgen Schmidhuber IDSIA, USI-SUPSI Manno–Lugano, Switzerland

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Source URL: people.idsia.ch

Language: English - Date: 2014-07-04 07:33:06
875Applied mathematics / Inductive bias / Overfitting / Algorithm / NP / Supervised learning / Artificial neural network / Machine learning / Statistics / Artificial intelligence

A Course in Machine Learning Hal Daumé III 1 | D ECISION T REES

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Source URL: ciml.info

Language: English - Date: 2014-09-24 16:08:39
876Neuroscience / Science / Recurrent neural network / Backpropagation / Long short term memory / Segmentation / Connectionism / Types of artificial neural networks / Artificial neural network / Neural networks / Computational neuroscience / Cybernetics

Multi-Dimensional Recurrent Neural Networks Alex Graves1 , Santiago Fern´andez1 , J¨urgen Schmidhuber1,2 1 2

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Source URL: people.idsia.ch

Language: English - Date: 2008-07-11 05:54:51
877Artificial intelligence / Machine learning / Computational neuroscience / Computational statistics / Histogram of oriented gradients / Perceptron / Local binary patterns / Artificial neural network / Statistical classification / Statistics / Computer vision / Neural networks

Steel Defect Classification with Max-Pooling Convolutional Neural Networks Jonathan Masci, Ueli Meier, Dan Ciresan, J¨urgen Schmidhuber IDSIA, USI and SUPSI Galleria 2, 6928 Manno-Lugano,

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Source URL: people.idsia.ch

Language: English - Date: 2012-10-05 09:29:34
878Network theory / Neural networks / Science / Combinatorics / Gene expression / Gene regulatory network / Boolean network / Degree distribution / Artificial neuron / Graph theory / Networks / Mathematics

PHYSICAL REVIEW E 86, Binary threshold networks as a natural null model for biological networks Matthias Rybarsch* and Stefan Bornholdt† Institute for Theoretical Physics, University of Bremen, DB

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Source URL: www.itp.uni-bremen.de

Language: English - Date: 2012-09-24 10:51:12
879Fuzzy logic / Science / Mathematics / Artificial intelligence / Artificial neural network / T-norm / Artificial neuron / Neural networks / Computational neuroscience / Logic

Training Artificial Neural Networks for Fuzzy Logic

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Source URL: www.complex-systems.com

Language: English - Date: 2013-03-26 14:33:18
880Linguistics / Machine learning / Computational neuroscience / Corpus linguistics / Markov models / Artificial neural network / Unsupervised learning / Part-of-speech tagging / Stochastic context-free grammar / Science / Computational linguistics / Natural language processing

From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing∗ Valentin I. Spitkovsky Stanford University and Google Inc.

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Source URL: nlp.stanford.edu

Language: English - Date: 2010-05-07 02:56:48
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