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Classification in machine learning
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221	Note to other teachers and users of these slides. Andrew would be delighted if you found this source material useful in giving you r own lectures. Feel free to use these slides verbatim, or to modify them to fit your own Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2008-07-07 16:16:19 Machine learning Estimation theory Naive Bayes classifier Maximum likelihood Classifier Statistics Bayesian statistics Statistical classification
222	Machine Learning, vv, 1–[removed]c 1998 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. An Empirical Comparison of Voting Classification Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 1998-10-19 18:24:53 Statistical classification Computational statistics Statistical inference AdaBoost Boosting Supervised learning Naive Bayes classifier Bootstrap aggregating Multiclass classification Statistics Machine learning Ensemble learning
223	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
224	Towards Recency Ranking in Web Search Anlei Dong Yi Chang Zhaohui Zheng Gilad Mishne Jing Bai Ruiqiang Zhang Karolina Buchner Ciya Liao Fernando Diaz Add to Reading List Source URL: www.yichang-cs.com Language: English - Date: 2009-11-16 01:42:56 Mind Internet search Memory Mental processes Learning to rank Machine learning Web query classification Storage ACT-R Information science Information retrieval Science
225	Journal of Machine Learning Research[removed]3176 Submitted 1/12; Revised 5/12; Published[removed]Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets Add to Reading List Source URL: www.jmlr.org Language: English - Date: 2012-11-13 18:50:28 Bayesian inference Beta-binomial distribution Markov chain Prior probability Empirical Bayes method Bayes factor Hierarchical Bayes model Statistics Bayesian statistics Conjugate prior
226	Note to other teachers and users of these slides. Andrew would be delighted if you found this source material useful in giving your own lectures. Feel free to use these slides verbatim, or to modify them to fit your own Add to Reading List Source URL: www.autonlab.org Language: English - Date: 2008-07-07 16:16:21 Regression analysis Neural networks Estimation theory Perceptron Statistical classification Training set Linear regression Naive Bayes classifier Statistics Econometrics Machine learning
227	PDF Document Add to Reading List Source URL: www.iapr.org Language: English - Date: 2015-01-28 10:21:50 Surveillance Learning IAPR Image processing International Conference on Pattern Recognition in Bioinformatics Sargur Srihari Biometrics Statistical classification Pattern recognition Machine learning Artificial intelligence Statistics
228	In Spring 2010, Com S 672 Advanced Topics in Computational Models of Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2014-11-21 15:52:46 Learning Artificial neural network Supervised learning Unsupervised learning Neural network Pattern recognition Statistical classification Data mining Support vector machine Machine learning Statistics Artificial intelligence
229	Distance Learning Algorithm Comparing in Classification and Retrieval Jiecheng Zhao supervisor: Scott Sanner October 31, 2012 Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-11-14 04:07:19 Statistical classification Data analysis Learning Nonlinear dimensionality reduction K-nearest neighbor algorithm Supervised learning Large margin nearest neighbor Linear classifier Support vector machine Statistics Machine learning Multivariate statistics
230	Machine Learning and Data Mining in Pattern Recognition Add to Reading List Source URL: www.data-mining-tutorial.de Language: English - Date: 2009-10-09 07:21:11 Data mining Natural language processing Cluster analysis Statistical classification Information retrieval Bayesian network Book:Machine Learning - The Complete Guide Oracle Data Mining Statistics Machine learning Data analysis

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