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Perceptron
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#	Item
361	Notes 6 Statistical Machine Learning Basis Expansions Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:34 Function Polynomial Lambert W function Least squares Perceptron Mathematics Regression analysis Mathematical analysis
362	1 Summary. We investigate the generalisation performance of consistent classifiers, i.e. classifiers that are contained in the so-called version space, both from a theoretical and experimental angle. In contrast to class Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-16 18:28:16 Margin classifier Perceptron Linear classifier Support vector machine VC dimension Classifier Statistics Statistical classification Machine learning
363	Notes 1 Statistical Machine Learning Overfitting, Model Selection, Cross Validation, Bias-Variance Instructor: Justin Domke Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2011-11-07 14:35:35 Machine learning Model selection Lists by country Perceptron Hindu population in England & Wales Statistics Neural networks Cross-validation
364	An Error-Driven Word-Character Hybrid Model for Joint Chinese Word Segmentation and POS Tagging Canasai Kruengkrai†‡ and Kiyotaka Uchimoto‡ and Jun’ichi Kazama‡ Yiou Wang‡ and Kentaro Torisawa‡ and Hitoshi Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2010-06-15 03:30:47 Corpus linguistics Speech recognition Natural language processing Neural networks Part-of-speech tagging N-gram Vehicle Identification Number Perceptron Segmentation Linguistics Computational linguistics Science
365	Algorithms for Direct 0–1 Loss Optimization in Binary Classification Tan T. Nguyen QUT, Brisbane, QLD 4001, Australia [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-05-22 03:40:35 Mathematics Operations research Support vector machines Convex optimization Mathematical optimization Perceptron Loss function Linear programming Optimization problem Statistics Statistical classification Mathematical sciences
366	Journal of Machine Learning Research[removed]746 Submitted 11/07; Revised 7/08; Published 3/09 Nieme: Large-Scale Energy-Based Models Francis Maes Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2009-03-26 17:45:20 Econometrics Perceptron Backpropagation Support vector machine Supervised learning Stochastic gradient descent Loss function Regression analysis Multilayer perceptron Statistics Machine learning Neural networks
367	Online Learning with Kernels Jyrki Kivinen Alex J. Smola Robert C. Williamson Research School of Information Sciences and Engineering Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 08:39:23 Statistical theory Computational statistics Neural networks Computational neuroscience Support vector machine Stochastic gradient descent Perceptron Loss function Robust statistics Statistics Machine learning Econometrics
368	CHANNEL EQUALIZATION AND THE BAYES POINT MACHINE Edward Harrington, Jyrki Kivinen and Robert C. Williamson Research School of Information Sciences and Engineering The Australian National University Canberra, ACT 0200 ABS Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2005-03-22 07:25:40 Perceptron Equalizer Linear classifier Margin classifier Estimation theory Bayesian inference Statistics Statistical classification Signal processing
369	HSE Health & Safety Executive Industrial use of safety-related Add to Reading List Source URL: www.hse.gov.uk Language: English - Date: 2001-03-07 02:57:34 Neuroscience Science Computational statistics Artificial neural network Multilayer perceptron Cellular neural network Nervous system network models Neural networks Computational neuroscience Cybernetics
370	IMPROVING PERFORMANCE OF INDUCTIVE MODELS THROUGH AN ALGORITHM AND SAMPLE COMBINATION STRATEGY Add to Reading List Source URL: www.abbottanalytics.com Language: English - Date: 2010-08-10 08:15:57 Neural networks Formal sciences Ensemble learning Computational neuroscience Cross-validation Overfitting Data mining Perceptron Pattern recognition Statistics Machine learning Learning

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