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Perceptron
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31	Determination and Detection of Features in Patterns Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2007-10-21 18:10:50 Artificial neural networks Perceptron Multilayer perceptron Feedforward neural network
32	Roberto Battiti · Mauro Brunato The LION Way Machine Learning plus Intelligent Optimization Version 2.0 — April 2015 Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-09-14 03:07:25 Artificial neural networks Machine learning Roberto Battiti LIONsolver Support vector machine Mathematical optimization Supervised learning Statistical classification Multilayer perceptron Multi-objective optimization Backpropagation Recurrent neural network
33	On Herding and the Perceptron Cycling Theorem Andrew E. Gelfand, Yutian Chen, Max Welling Department of Computer Science University of California, Irvine {agelfand,yutianc,welling}@ics.uci.edu Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Machine learning Artificial neural networks Perceptron Conditional random field Supervised learning Pattern recognition Generalization error Structured prediction Kernel perceptron
34	Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata Reading: Kevin Gurney’s Introduction to Neural Networks, Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-31 15:41:31 Artificial neural networks Multilayer perceptron Feedforward neural network Backpropagation Delta rule Perceptron Artificial neuron Activation function
35	Globally Normalized Transition-Based Neural Networks Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov and Michael Collins Google Inc New York, NY {andor,chrisalbe Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-21 20:39:04 Artificial neural networks Computational neuroscience Language modeling Mathematical psychology N-gram Perceptron Conditional random field
36	Globally Normalized Transition-Based Neural Networks Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov and Michael Collins∗ Google Inc New York, NY {andor,chrisa Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-06-08 20:54:40 Artificial neural networks Language modeling Computational neuroscience Mathematical psychology N-gram Word embedding Conditional random field Perceptron
37	Informatics 1 Cognitive Science (2014–2015) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 08:43:44 Artificial neural networks Functions and mappings Computational neuroscience Multilayer perceptron Perceptron Function Connectionism Graph of a function Computable function Feedforward neural network
38	Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling Pawel Swietojanski, Peter Bell, Steve Renals The Centre for Speech Technology Research, University of Edinburgh, United Kingdom {p.s Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Computational neuroscience Computational statistics Automatic identification and data capture Computer accessibility Speech recognition Language model Convolutional neural network Perceptron Recurrent neural network Machine learning Deep learning
39	Informatics 1 Cognitive Science (2015–2016) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 08:41:30 Artificial neural networks Computational neuroscience Multilayer perceptron Perceptron Connectionism Function Backpropagation Feedforward neural network
40	DEEP LEARNING FOR TRADING 35::::38.7 Add to Reading List Source URL: fpq.io Language: English - Date: 2016-05-16 03:43:49 Machine learning Computational neuroscience Cybernetics Artificial neural networks Perceptron Deep learning Overfitting Supervised learning Artificial intelligence

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