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Artificial neural networks
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651	C2FS: An Algorithm for Feature Selection in Cascade Neural Networks Lars Backstrom Rich Caruana Computer Science Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2006-09-13 16:02:40 Cybernetics Early stopping Backpropagation Feature selection Artificial neural network Algorithm Artificial neuron Feature Overfitting Neural networks Statistics Machine learning
652	Trading Representability for Scalability: Adaptive Multi-Hyperplane Machine for Nonlinear Classification Zhuang Wang Nemanja Djuric Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2013-03-26 23:23:56 Learning Neural networks Support vector machines Kernel methods Linear classifier Artificial neuron Active learning Least squares support vector machine Kernel adaptive filter Machine learning Statistics Statistical classification
653	Artificial Neural Networks Examination, March 2003 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pa Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-06-07 09:38:12 Neuroscience Perceptron Artificial neural network Multilayer perceptron Backpropagation Pattern recognition Statistical classification Winner-take-all Activation function Neural networks Cybernetics Science
654	egu_logo_without_circle_grey Add to Reading List Source URL: www.the-cryosphere.net Language: English - Date: 2014-12-04 08:12:30 Machine learning Computational neuroscience Computational statistics Cryosphere Artificial neural network Statistical classification Regression analysis Snow Perceptron Statistics Neural networks Econometrics
655	Sensors and Actuators B–317 Drift counteraction with multiple self-organising maps for an electronic nose Marzia Zuppa a , Cosimo Distante a,∗ , Pietro Siciliano a , Krishna C. Persaud b a Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-07-19 09:08:02 Statistics Artificial neuron Competitive learning Vector quantization Savitzky–Golay smoothing filter Discrete wavelet transform Wavelet Self-organizing map Vector space Neural networks Algebra Mathematics
656	Artificial Neural Networks Examination, March 2004 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pa Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-06-07 09:38:12 Artificial intelligence Feedforward neural network Perceptron Artificial neuron Artificial neural network Multilayer perceptron Backpropagation Generalization error ADALINE Neural networks Cybernetics Science
657	Neural Decision Forests for Semantic Image Labelling Samuel Rota Bul`o Fondazione Bruno Kessler Trento, Italy Peter Kontschieder Add to Reading List Source URL: www.dsi.unive.it Language: English - Date: 2014-04-15 04:23:50 Perceptron Multilayer perceptron Maximum likelihood Artificial neuron Random forest Activation function Decision tree learning Backpropagation Artificial neural network Neural networks Machine learning Statistics
658	Microprocessing and Microprogramming254 North-Holland 251 N E m h % L N E T W O R K S D E F I N I T I O N ~%LGORZTHM Add to Reading List Source URL: geb.uma.es Language: English - Date: 2012-09-06 08:14:52 Mind Nervous system Cybernetics Computational statistics Artificial neural network Biological neural network Neuron Hebbian theory Artificial neuron Neural networks Computational neuroscience Neuroscience
659	Artificial Neural Networks Examination, June 2004 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pas Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-09-08 10:30:53 Neuroscience Perceptron Feedforward neural network Artificial neural network Multilayer perceptron ADALINE Activation function Statistical classification Supervised learning Neural networks Cybernetics Science
660	Self-Organizing Maps Basics • • • Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-07-15 11:36:28 Computational statistics Self-organizing map Unsupervised learning Vector quantization Competitive learning Supervised learning Neural networks Machine learning Artificial intelligence

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