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Support vector machine
Results: 2011

#	Item
161	Feature-Level Domain Adaptation Wouter M. Kouw arXiv:1512.04829v1 [stat.ML] 15 Dec 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-12-15 20:29:58 Machine learning Statistical classification Domain adaptation Support vector machine Pattern recognition Mode Linear classifier Supervised learning Naive Bayes classifier
162	Machine learning techniques available in pRoloc Laurent Gatto∗ June 14, 2016 Contents 1 Introduction Add to Reading List Source URL: www.bioconductor.org Language: English - Date: 2016-08-14 02:14:55 Machine learning Statistical classification K-nearest neighbors algorithm Support vector machine Supervised learning Generalization error Naive Bayes classifier
163	Journal of Machine Learning Research) ??-?? Submitted; Revised; PublishedEfficient Online and Batch Learning using Forward Backward Splitting Add to Reading List Source URL: stanford.edu Language: English - Date: 2014-09-05 13:17:08 Mathematical optimization Convex analysis Convex optimization Subgradient method Gradient descent Lipschitz continuity Subderivative Support vector machine
164	Roberto Battiti · Mauro Brunato The LION Way Machine Learning plus Intelligent Optimization Version 2.0 — April 2015 Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-09-14 03:07:25 Artificial neural networks Machine learning Roberto Battiti LIONsolver Support vector machine Mathematical optimization Supervised learning Statistical classification Multilayer perceptron Multi-objective optimization Backpropagation Recurrent neural network
165	Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank University of Waikato, Hamilton, New Zealand Experiments Introduction Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Statistical classification Classifier chains Machine learning Multi-label classification Support vector machine Classifier Ensemble learning
166	Scalable Multi-label Classification Jesse Read Supervised by Bernhard Pfahringer and Geoff Holmes Machine Learning Group University of Waikato New Zealand Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2011-01-21 04:46:36 Machine learning Multi-label classification Statistical classification Supervised learning Test set Pattern recognition Support vector machine
167	Contexts-Constrained Multiple Instance Learning for Histopathology Image Analysis Yan Xu1,2 , Jianwen Zhang2 , Eric I-Chao Chang2 , Maode Lai4 , and Zhuowen Tu2,3 1 State Key Laboratory of Software Development Environmen Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2013-02-23 14:26:54 Machine learning Image segmentation Multiple-instance learning Multiple instance learning Pattern recognition K-means clustering Support vector machine
168	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 0, NO. 0, Doubly Sparse Relevance Vector Machine for Continuous Facial Behavior Estimation Add to Reading List Source URL: ibug.doc.ic.ac.uk Language: English - Date: 2015-11-17 07:06:40 Relevance vector machine Multiple kernel learning Normal distribution Support vector machine Positive-definite kernel Affective computing
169	Journal of Machine Learning Research 18:199–213, 2012 Proceedings of KDD-Cup 2011 competition Combining Predictors for Recommending Music: the False Positives’ approach to KDD Cup track 2 Add to Reading List Source URL: jmlr.org Language: English - Date: 2012-06-01 11:02:19 Statistical classification Collective intelligence Recommender systems Collaboration Model selection Cross-validation Collaborative filtering Netflix Prize Support vector machine Cold start Regression analysis Star
170	Bus Travel Time Prediction under High Variability Conditions Kranthi Kumar Reddy Graduate Student Department of Civil Engineering Indian Institute of Technology Madras Add to Reading List Source URL: www.currentscience.ac.in Language: English - Date: 2016-07-11 02:36:02 Statistical classification Regression analysis Support vector machine Cross-validation Prediction Variance On-time performance Linear regression Autoregressive model Mean absolute percentage error Bus stop Machine learning

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