Naive - PDFSEARCH.IO - Document Search Engine

Naive
Results: 799

#	Item
171	Didacticiel - Études de cas Ricco Rakotomalala 1 Topic Data Mining with Scilab. Add to Reading List Source URL: eric.univ-lyon2.fr Language: English - Date: 2014-01-07 12:21:27 Statistical classification Mathematical software Machine learning Scilab MATLAB Confusion matrix Naive Bayes classifier Support vector machine Statistics Software Array programming languages
172	Hindawi Publishing Corporation Advances in Multimedia Volume 2013, Article ID, 22 pages http://dx.doi.orgResearch Article Add to Reading List Source URL: www.demcare.eu Language: English - Date: 2014-02-13 07:43:51 Co-training Support vector machine Supervised learning Margin classifier Semi-supervised learning Naive Bayes classifier Classifier Linear discriminant analysis Multiclass classification Statistics Statistical classification Machine learning
173	Machine Learning Exercises 6: Practical Assignment Due: December 13 (has been extended by one week) Rogier van het Schip Add to Reading List Source URL: www.timvanerven.nl Language: English - Date: 2012-05-23 05:18:35 Decision trees Bayesian statistics Weka Statistical classification K-nearest neighbor algorithm Naive Bayes classifier ID3 algorithm Algorithm Nearest neighbour algorithm Machine learning Statistics Artificial intelligence
174	Debiasing Crowdsourced Batches Honglei Zhuang, Aditya Parameswaran, Dan Roth and Jiawei Han Department of Computer Science University of Illinois at Urbana-Champaign {hzhuang3, adityagp, danr, hanj}@illinois.edu Add to Reading List Source URL: web.engr.illinois.edu Language: English - Date: 2015-02-20 07:50:14 Expectation–maximization algorithm Missing data Sampling Naive Bayes classifier Algorithm Collection Statistics Theoretical computer science Estimation theory
175	Classifying Documents using Ruby Paul Dix http://www.pauldix.net Add to Reading List Source URL: pauldix.blogs.com Language: English - Date: 2008-08-28 10:03:24 Computational statistics Statistical classification Document classification Classifier Feature selection Random subspace method Naive Bayes classifier Statistics Machine learning Artificial intelligence
176	Supervised Machine Learning for Classifying Text with Ruby 1 Introduction 1.1 What are Classifiers In the world of text, classifiers or supervised machine learning is a method for assigning a class or category to textua Add to Reading List Source URL: pauldix.blogs.com Language: English - Date: 2008-08-28 10:03:30 Statistical classification Bayesian statistics Linear classifier Naive Bayes classifier K-nearest neighbor algorithm Document classification Support vector machine Perceptron Classifier Statistics Machine learning Artificial intelligence
177	A Language Model Approach to Spam Filtering Ben Medlock Cambridge University Computer Laboratory William Gates Building JJ Thomson Avenue Cambridge, CB3 OFD Add to Reading List Source URL: www.benmedlock.co.uk Language: English - Date: 2007-12-07 05:56:56 Spam filtering Computing Computational linguistics Statistical natural language processing N-gram Language model Naive Bayes classifier Pattern recognition Interpolation Natural language processing Statistics Science
178	Once‐Daily Dolutegravir is Non‐Inferior to Twice‐Daily Raltegravir in Treatment‐Naïve Adults with HIV‐1  Add to Reading List Source URL: shionogi616.tew-staging.com Language: English - Date: 2014-11-03 11:26:21 Organic chemistry Health HIV/AIDS Amides Oxadiazoles Raltegravir Lamivudine GlaxoSmithKline Dolutegravir Organofluorides Chemistry Integrase inhibitors
179	TUB @ MediaEval 2012 Tagging Task: Feature Selection Methods for Bag-of-(visual)-Words Approaches Sebastian Schmiedeke, Pascal Kelm, and Thomas Sikora Communication Systems Group Technische Universität Berlin, Germany Add to Reading List Source URL: elvera.nue.tu-berlin.de Language: English - Date: 2012-10-08 09:05:50 Information retrieval Bayesian statistics Data analysis Principal component analysis Naive Bayes classifier Feature selection Support vector machine Tf*idf Statistics Statistical classification Multivariate statistics
180	An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus Ben Medlock Cambridge University Computer Laboratory William Gates Building JJ Thomson Avenue Add to Reading List Source URL: www.benmedlock.co.uk Language: English - Date: 2007-12-07 05:59:37 Science Natural language processing Machine learning Statistical classification Email Email filtering Naive Bayes classifier Language model N-gram Statistics Spam filtering Computing

UPDATE