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431	BNT Structure Learning Package : Documentation and Experiments Philippe Leray, Olivier Francois TECHNICAL REPORT Laboratoire PSI - INSA Rouen- FRE CNRS 2645 Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2004-11-15 07:58:24 Graphical models Networks Bayesian network Directed acyclic graph Statistical classification Naive Bayes classifier Akaike information criterion Statistics Bayesian statistics Statistical models
432	International Journal of Computer Applications (0975 – 8887) Volume 77– No., september 2013 Classification of the Lung Diseases from CT Scans by Advanced Segmentation Techniques using Genetic Algorithm Add to Reading List Source URL: research.ijcaonline.org Language: English* - Date: 2013-09-25 11:01:14 Computer vision Image processing Bayesian statistics Segmentation Naive Bayes classifier Feature selection Pattern recognition Random forest Statistical classification Statistics Machine learning Dimension reduction
433	Part 1 General Topology The goal of this part of the book is to teach the language of mathematics. More speciﬁcally, one of its most important components: the language of set-theoretic topology, which treats the basi Add to Reading List Source URL: www.pdmi.ras.ru Language: English - Date: 2007-02-20 09:40:48 General topology Order theory Set theory Algebraic structures Elementary mathematics Naive set theory Set Topological space Closed set Mathematics Topology Mathematical logic
434	[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: 2011-03-15 20:16:35 Econometrics Expectation–maximization algorithm Missing data Maximum likelihood Linear regression Logistic regression Naive Bayes classifier Statistics Estimation theory Regression analysis
435	Proceedings Template - WORD Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2004-08-26 13:24:54 Natural language processing Artificial intelligence Computational linguistics Learning Information extraction Data mining Email Naive Bayes classifier JavaScript Statistics Science Computing
436	Guessing the Grammatical Function of a Non-Root F-Structure in LFG Anton Bryl CNGL, Dublin City University, Dublin 9, Ireland Add to Reading List Source URL: doras.dcu.ie Language: English - Date: 2010-02-15 08:33:52 Statistical classification Semantics Bayesian statistics Grammatical relation Syntax Function Naive Bayes classifier Support Normal distribution Mathematics Statistics Mathematical analysis
437	Course Notes for Math 320: Fundamentals of Mathematics Chapter 2: Sets. September 15, [removed] Add to Reading List Source URL: www.csun.edu Language: English - Date: 2004-09-15 13:18:26 Topology Elementary mathematics Cardinality Exponentiation Interval Set Cardinal number Integer Naive set theory Mathematics Abstract algebra Order theory
438	CALIFORNIA STATE SCIENCE FAIR 2010 PROJECT SUMMARY Name(s) Ryan P. Batterman Add to Reading List Source URL: www.usc.edu Language: English - Date: 2010-05-05 13:42:44 Instruction set Computing Malware Opcode Naive Bayes classifier
439	Bayesian Network Structure Learning using Factorized NML Universal Models Teemu Roos, Tomi Silander, Petri Kontkanen, and Petri Myllymäki Complex Systems Computation Group, Helsinki Institute for Information Technology Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2008-01-05 04:28:58 Maximum likelihood Fisher information Bayesian network Minimum description length Likelihood function Bayesian information criterion Naive Bayes classifier Markov chain Statistics Estimation theory Bayesian statistics
440	IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 11, NO. 4, JULY[removed]Temporal Updating Scheme for Probabilistic Neural Network with Application to Satellite Cloud Add to Reading List Source URL: www.engr.colostate.edu Language: English - Date: 2003-10-02 15:30:21 Artificial intelligence Statistical classification Pattern recognition Supervised learning Naive Bayes classifier Neural network Training set Gaussian function Machine learning Statistics Learning

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