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Ensemble learning
Results: 532

#	Item
61	Ensemble Classifier for Combining Stereo Matching Algorithms Aristotle Spyropoulos Philippos Mordohai Stevens Institute of Technology {ASpyropo, Philippos.Mordohai}@stevens.edu Add to Reading List Source URL: www.cs.stevens.edu Language: English - Date: 2015-09-23 02:31:26 Vision Machine learning Parts of speech Stereoscopy Statistical classification Naive Bayes classifier Classifier Image segmentation 3D reconstruction Stereopsis
62	Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning? Boris Babenko1 Piotr Doll´ar1,2 Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2009-07-14 20:22:18 Machine learning Ensemble learning Boosting Statistical classification Gradient boosting Supervised learning Multiple instance learning
63	A Bayesian Approach to Concept Drift Stephen H. Bach, Marcus A. Maloof Introduction Comparing Conditional Distributions Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:07 Bayesian statistics Statistical models Machine learning Prior probability Bayesian network Concept drift Probability distribution Naive Bayes classifier Ensemble learning
64	Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment Zhuowen Tu1 , Xiang Sean Zhou3 , Adrian Barbu2 , Luca Bogoni3 , Dorin Comaniciu2 1 Lab of Neuro Imaging, Dept. of Neurology, UCLA 2 Integrated D Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2006-03-28 17:53:00 Ensemble learning AdaBoost Cascading classifiers Boosting Polyp Supervised learning Classifier Linear discriminant analysis Statistical classification ViolaJones object detection framework
65	Multi-label Classification using Ensembles of Pruned Sets Submitted for Blind Review Abstract This paper presents a Pruned Sets method (PS) for multilabel classification. It is centred on the concept of treating sets of Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Ensemble learning Statistical classification Multi-label classification Support vector machine K-nearest neighbors algorithm AdaBoost Boosting Machine learning
66	A Pruned Problem Transformation Method for Multi-label Classification Jesse Read University of Waikato, Hamilton, New Zealand Add to Reading List Source URL: perso.telecom-paristech.fr Language: English - Date: 2010-10-25 05:10:52 Statistical classification Machine learning Ensemble learning Multi-label classification Support vector machine AdaBoost Multiclass classification Naive Bayes classifier Boosting K-nearest neighbors algorithm Document classification Classifier chains
67	JMLR: Workshop and Conference Proceedings 39:360–370, 2014 ACML 2014 Ensembles for Time Series Forecasting Mariana Oliveira Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-02-16 03:19:49 Ensemble learning Time series models Statistical forecasting Time series analysis Econometrics Forecasting Random subspace method Autoregressive integrated moving average Random forest Time series Autoregressive model Regression analysis
68	Running head: FINDING STRUCTURE IN DATA 1 Draft: Finding structure in data using multivariate tree boosting. Patrick J. Miller, Gitta H. Lubke, Daniel B. McArtor, C. S. Bergeman Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-01-21 20:09:36 Regression analysis Decision trees Statistical methods Econometrics Ensemble learning Nonparametric regression Random forest Decision tree learning Prediction Structural equation modeling Data analysis Decision tree
69	An Ensemble for Query Intent Detec4on rd CIKM CUP 2014, 3 Place Elmar Haussmann University of Freiburg, Germany Chair of Algorithm and Add to Reading List Source URL: ad-publications.informatik.uni-freiburg.de Language: English - Date: 2015-07-08 06:26:55 Machine learning Artificial neural networks Word2vec Google Search Web query classification
70	Microsoft Word - MSc in Applied Statisticsoutline.docx Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2016-02-12 07:15:48 Bayesian statistics Statistical inference Statistical models Estimation theory Computational statistics Bayesian network Coalescent theory Bayesian Markov chain Monte Carlo Particle filter Ensemble learning Deep learning

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