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Ensemble learning
Results: 532

#	Item
261	Optimizing Discrimination-Efficiency Tradeoff in Integrating Heterogeneous Local Features for Object Detection Add to Reading List Source URL: iris.usc.edu Language: English - Date: 2009-11-16 12:39:49 Vision Ensemble learning Face recognition Histogram of oriented gradients Statistical classification Classifier Face detection AdaBoost Learning classifier system Artificial intelligence Machine learning Computer vision
262	Learning with Uncertainty – Gaussian Processes and Relevance Vector Machines Joaquin Qui˜nonero Candela Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2004-10-07 04:27:24 Ensemble learning Relevance vector machine
263	Towards scalable dataset construction: An active learning approach Brendan Collins, Jia Deng, Kai Li, and Li Fei-Fei {bmcollin, dengjia, li, feifeili}@cs.princeton.edu Department of Computer Science, Princeton University Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:55:47 Ensemble learning Computer vision Statistical classification AdaBoost Boosting Decision stump Color histogram LabelMe Support vector machine Machine learning Artificial intelligence Vision
264	JOURNAL OF LATEX CLASS FILES, VOL. 1, NO. 8, AUGUST[removed]Discriminative Feature Co-occurrence Selection for Object Detection Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-08-08 04:33:06 Statistical classification Learning Parts of speech Machine learning AdaBoost Classifier Boosting Naive Bayes classifier Support vector machine Statistics Ensemble learning Artificial intelligence
265	Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2014-11-02 15:45:55 Ensemble learning Parts of speech Naive Bayes classifier Linear discriminant analysis Boosting Support vector machine Classifier Perceptron Random forest Statistics Machine learning Statistical classification
266	Combining Randomization and Discrimination for Fine-Grained Image Categorization Bangpeng Yao∗ Aditya Khosla∗ Li Fei-Fei Computer Science Department, Stanford University, Stanford, CA Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:20:29 Statistics Computer vision Ensemble learning Binary trees Image processing Random forest Object recognition Feature selection Segmentation Machine learning Artificial intelligence Decision trees
267	Credal Ensembles of Classifiers G. Corania,∗, A. Antonuccia a IDSIA Istituto Dalle Molle di Studi sull’Intelligenza Artificiale CH-6928 Manno (Lugano), Switzerland Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2012-11-12 17:31:27 Averaged one-dependence estimators Statistical theory Bayesian inference Naive Bayes classifier Machine learning Credal set Ensemble learning Minimum description length Information theory Statistics Bayesian statistics Statistical classification
268	Human Boosting Harsh Pareek [removed] Pradeep Ravikumar [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2013-01-08 00:54:06 AdaBoost Gradient boosting Decision stump LogitBoost Boosting methods for object categorization LPBoost Machine learning Ensemble learning Boosting
269	Exploiting Spatial Information to Improve fMRI Pattern Classification Melissa K. Carroll , Kenneth A. Norman , James V. Haxby , Robert E. Schapire 1 Add to Reading List Source URL: compmem.princeton.edu Language: English - Date: 2010-11-05 09:33:06 Computational statistics AdaBoost Boosting Statistical classification Classifier Functional magnetic resonance imaging Boosting methods for object categorization Ensemble learning Artificial intelligence Learning
270	stenger_prl06a_review1.dvi Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-02-16 13:07:47 Econometrics Ensemble learning Relevance vector machine Multivariate statistics Bayesian linear regression Gaussian function Function Estimation theory Projection Statistics Regression analysis Bayesian statistics

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