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Book:Machine Learning - The Complete Guide
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1	Chapter 2 I nducti ve Learni ng This chapter presents an overview of the research in inductive learning. We briefly describe the various aspects of this scientific field and present some examples of applications. We the Add to Reading List Source URL: www.dcc.fc.up.pt Language: English - Date: 2012-12-13 10:18:43 Machine learning Cognition Knowledge Learning Supervised learning Inductive logic programming Decision tree learning Inductive reasoning Artificial neural network Statistics Inference Book:Machine Learning The Complete Guide
2	logistic regression decision trees pre-pruning global contextual Add to Reading List Source URL: bigdatascienceschool.com Language: English - Date: 2014-06-10 14:21:32 Statistics Statistical classification Robust statistics Machine learning K-nearest neighbors algorithm Outlier Nonparametric statistics Naive Bayes classifier Linear regression Book:Machine Learning The Complete Guide Predictive analytics
3	ICONIP2015 PROGRAM Renaissance Polat Istanbul Hotel 08 NovemberSunday) 13:00-18:00 The Registration Desk Open Add to Reading List Source URL: www.iconip2015.org Language: English - Date: 2015-10-16 03:01:34 Artificial neural networks Machine learning Computational neuroscience Mathematical psychology Deep learning Cellular neural network Boosting Cluster analysis Image segmentation Statistical classification Convolutional neural network Book:Machine Learning The Complete Guide
4	Special Session on Evolutionary Machine Learning for Image Analysis and Pattern Recognition Organisers:  Muhammad Iqbal School of Engineering and Computer Science, Victoria University of Wellington, New Zealand. Email Add to Reading List Source URL: www.ies-2016.org Language: English - Date: 2016-05-19 03:43:44 Machine learning Formal sciences Evolution Evolutionary computation Computer science Pattern recognition IEEE Transactions on Evolutionary Computation Statistical classification Feature extraction Book:Machine Learning The Complete Guide Outline of evolution
5	AUTOMATIC MAP FEATURE EXTRACTION USING ARTIFICIAL NEURAL NETWORKS Itthi Trisirisatayawong and Mark R. Shortis Department of Geomatics University of Melbourne Parkville VIC 3052 AUSTRALIA Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-29 22:23:47 Machine learning Artificial neural networks Computational neuroscience Computational statistics Mathematical psychology Pattern recognition Backpropagation Statistical classification Image segmentation Supervised learning Deep learning Book:Machine Learning The Complete Guide
6	Using Active Learning and Semantic Clustering for Noise Reduction in Distant Supervision Lucas Sterckx, Thomas Demeester, Johannes Deleu, Chris Develder Ghent University - iMinds Ghent - Belgium Add to Reading List Source URL: www.akbc.ws Language: English - Date: 2015-04-02 16:06:46 Supervised learning Semantic similarity Dimension reduction Support vector machine Statistical classification Book:Machine Learning - The Complete Guide Word-sense disambiguation Statistics Machine learning Data mining
7	PDF Document Add to Reading List Source URL: www.taos-telecommunity.org Language: English - Date: 2008-03-04 16:18:06 Statistical classification Naive Bayes classifier Machine learning Influence diagram Deviance information criterion Gibbs sampling Expectation–maximization algorithm Bayesian information criterion Book:Machine Learning - The Complete Guide Statistics Bayesian statistics Bayesian network
8	1 An introduction to multivariate analysis. Lecture 2: Exploring and presenting dependencies and group membership Add to Reading List Source URL: www.pisces-conservation.com Language: English - Date: 2007-07-06 08:41:38 Linear discriminant analysis Multicollinearity Regression analysis Correspondence analysis Linear regression Multivariate analysis Analysis Book:Machine Learning - The Complete Guide Statistics Multivariate statistics Ordination
9	Collaborative Filtering: A Machine Learning Perspective by Benjamin Marlin Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2009-06-29 08:36:48 Collaborative filtering Information retrieval Social information processing Naive Bayes classifier Regression analysis Statistical classification Book:Machine Learning - The Complete Guide Statistics Machine learning Bayesian statistics
10	DT09 Abstracts IP1 A Geometric Perspective on Machine Learning and Data Mining Increasingly, we face machine learning problems in very Add to Reading List Source URL: www.siam.org Language: English - Date: 2009-04-02 09:07:43 Cluster analysis Consensus clustering K-means clustering Hans-Peter Kriegel Machine learning Hierarchical clustering Structure mining Book:Machine Learning - The Complete Guide ELKI Statistics Data mining Data analysis

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