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Naive
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#	Item
441	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-17 18:22:06 Multivariate normal distribution Normal distribution Kullback–Leibler divergence Covariance matrix Conditional mutual information Conditional entropy Mutual information Joint probability distribution Statistical classification Statistics Information theory Naive Bayes classifier
442	3 Semi-Supervised Text Classification Using EM Kamal Nigam Andrew McCallum Tom Mitchell Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-03-07 20:47:10 Supervised learning Naive Bayes classifier Co-training Mixture model Document classification Generative model Expectation–maximization algorithm Statistical classification Maximum likelihood Statistics Machine learning Semi-supervised learning
443	Combining Recursive Partitioning and Uncertain Reasoning for Data Exploration and Characteristic Prediction Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 05:39:55 Statistical classification Statistical inference Bayesian network Naive Bayes classifier Bayesian inference Decision tree learning Probabilistic logic Classification rule Pattern recognition Statistics Machine learning Bayesian statistics
444	2014 Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU) Feature Selection for Floor-changing Activity Recognition in Multi-Floor Pedestrian Navigation Sara Khalifa∗‡ , Mahbub Hassa Add to Reading List Source URL: www.cse.unsw.edu.au Language: English - Date: 2014-01-23 19:11:42 Bayesian statistics Naive Bayes classifier Classifier Feature selection Weka Support vector machine Pattern recognition Perceptron Statistics Statistical classification Machine learning
445	PRINTED TEXT AND HANDWRITING IDENTIFICATION IN THAI DOCUMENT IMAGES TIPAWAN KHUNVIPAKORN A RESEARCH PROJECT SUBMITTED IN PARTIAL Add to Reading List Source URL: www.li.mahidol.ac.th Language: English - Date: 2010-12-23 21:53:26 Thai alphabet Naive Bayes classifier Linguistics K Thai language
446	In Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI-00), pages[removed], Austin, Texas, August[removed]Restricted Bayes Optimal Classifiers Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-03 21:16:12 Naive Bayes classifier Margin classifier Decision boundary Bayesian inference Generative model Density estimation Estimation theory Linear classifier Book:Machine Learning - The Complete Guide Statistics Statistical classification Support vector machine
447	[removed]Machine Learning, Spring 2011: Homework 4 Due: Tuesday March 1st at the begining of the class Instructions There are two questions on this assignment. Please submit your writeup as two separate sets of pages accor Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-02-22 18:42:50 Econometrics Expectation–maximization algorithm Missing data Regression analysis Naive Bayes classifier Linear regression Bayesian network Empirical Bayes method Statistics Estimation theory Bayesian statistics
448	[removed]Machine Learning, Spring 2011: Homework 2 Due: Friday Feb. 4 at 4pm in Sharon Cavlovich’s office (GHC[removed]Instructions There are 3 questions on this assignment. The last question involves coding. Please submit Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-01-26 12:02:42 Statistical theory Bayesian statistics Machine learning Naive Bayes classifier Kullback–Leibler divergence Mutual information Conditional entropy Joint probability distribution Normal distribution Statistics Information theory Statistical classification
449	Learning on the Test Data: Leveraging “Unseen” Features Ben Taskar BTASKAR @ CS . STANFORD . EDU Ming Fai Wong MINGFAI . WONG @ CS . STANFORD . EDU Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-04 19:13:52 Statistical models Statistical classification Model selection Overfitting Bayesian network Cross-validation Support vector machine Graphical model Naive Bayes classifier Statistics Bayesian statistics Machine learning
450	JOURNAL OF LATEX CLASS FILES, VOL. 1, NO. 8, AUGUST[removed]Discriminative Feature Co-occurrence Selection for Object Detection Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-08-08 04:33:06 Statistical classification Learning Parts of speech Machine learning AdaBoost Classifier Boosting Naive Bayes classifier Support vector machine Statistics Ensemble learning Artificial intelligence

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