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Classification in machine learning
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241	¨ t Augsburg Universita Active Learning in Parallel Universes Nicolas Cebron and Michael R. Berthold Report[removed] Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:01:57 Learning Supervised learning Co-training Statistical classification Multiverse Support vector machine Active learning Parallel universe Semi-supervised learning Machine learning Statistics Artificial intelligence
242	Evaluating the Efficacy of Grasp Metrics for Utilization in a Gaussian Process-Based Grasp Predictor Alex K. Goins1 , Ryan Carpenter1 , Weng-Keen Wong2 , and Ravi Balasubramanian1 Abstract— With the goal of advancing t Add to Reading List Source URL: web.engr.oregonstate.edu Language: English - Date: 2014-06-25 13:09:17 Statistical classification Software design Data mining Detection theory Receiver operating characteristic GRASP Industrial robot Manipulator GRaphics Animation System for Professionals Statistics Machine learning Technology
243	Probabilistic Classification and Clustering in Relational Data Ben Taskar Eran Segal Daphne Koller Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-03 21:16:26 Machine learning Graphical models Cluster analysis Relational model Expectation–maximization algorithm Relation Probabilistic relational model Bayesian network Data mining Statistics Probability and statistics Statistical models
244	A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering Add to Reading List Source URL: aaai.org Language: English - Date: 2006-07-07 02:48:27 Computational statistics Data mining Concept drift Statistical classification Ensemble learning Supervised learning Spam Classifier Support vector machine Statistics Machine learning Internet
245	Microcomputers in Civil Engineering[removed]–276 Using Machine Learning, Neural Networks, and Statistics to Predict Corporate Bankruptcy P. P. M. Pompe∗ University of Twente, School of Management Science, 7500 Add to Reading List Source URL: doc.utwente.nl Language: English - Date: 2011-08-28 11:12:33 Computational neuroscience Multivariate statistics Regression analysis Linear discriminant analysis Logistic regression Cross-validation Neural network Statistical power Statistical model Statistics Machine learning Statistical classification
246	Incorporating Diversity in Active Learning with Support Vector Machines Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 18:59:06 Statistical classification Machine learning Linear algebra Abstract algebra Support vector machine Margin classifier Linear classifier Vector space Active learning Algebra Mathematics Statistics
247	Advances in Electrical and Electronic Engineering 124 NEURAL NETWORK BASED RECOGNITION OF SIGNAL PATTERNS IN APPLICATION TO AUTOMATIC ULTRASONIC TESTING OF RAILS Add to Reading List Source URL: dspace.vsb.cz Language: English - Date: 2013-07-16 07:09:57 Statistics Knowledge Nondestructive testing Neural networks Ultrasound Ultrasonic testing Artificial neural network Statistical classification Pattern recognition Science Computational neuroscience Machine learning
248	In Proceedings of the Seventeenth International Conference on Machine Learning (ICML-00), pages[removed], Stanford, California, June 1998 Support Vector Machine Active Learning with Applications to Text Classification Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2005-10-03 21:16:52 Learning Support vector machine Active learning Transduction Supervised learning Hyperplane Pattern recognition Stability Web query classification Machine learning Statistics Artificial intelligence
249	IDENTIFYING FLUORESCENCE MICROSCOPE IMAGES IN ONLINE JOURNAL ARTICLES USING BOTH IMAGE AND TEXT FEATURES Juchang Hua1,2,4, Orhan N. Ayasli5, William W. Cohen1,4 and Robert F. Murphy1,2,3,5 Center for Bioimage Informatics Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-04-16 09:36:09 Machine learning Ensemble learning Statistical classification Co-training Support vector machine Linear classifier AdaBoost Document classification Boosting Artificial intelligence Statistics Computational statistics
250	Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding Bernard Ng The University of British Columbia 2366 Main Mall, Vancouver, BC, V6T 1Z4 Rafeef Abugharbieh Add to Reading List Source URL: www.ece.ubc.ca Language: English - Date: 2011-07-15 18:15:31 Machine learning Linear classifier Functional magnetic resonance imaging Linear discriminant analysis Support vector machine Multinomial logit Voxel Human brain Elastic net regularization Statistics Statistical classification Regression analysis

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