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Statistical ensemble
Results: 1365

#	Item
21	Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank Department of Computer Science The University of Waikato Hamilton, New Zealand {jmr30,bernhard,geoff,eibe}@cs.wai Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:52 Statistical classification Artificial intelligence Machine learning Learning Classifier chains Multi-label classification Multiclass classification Support vector machine Naive Bayes classifier AdaBoost Ensemble learning Boosting
22	A Replication Study of the Top Performing Systems in SemEval Twitter Sentiment Analysis Efstratios Sygkounas1 , Giuseppe Rizzo2 , Rapha¨el Troncy1 1 EURECOM, Sophia Antipolis, France, Add to Reading List Source URL: giusepperizzo.github.io Language: English - Date: 2016-08-05 11:54:54 Artificial intelligence Natural language processing Linguistics Computational linguistics Semantics Statistical classification Ensemble learning SemEval Word-sense disambiguation Sentiment analysis Boosting Support vector machine
23	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: jmread.github.io Language: English - Date: 2016-05-18 09:25:59 Statistical classification Classifier chains Machine learning Multi-label classification Ensemble learning Support vector machine Classifier K-nearest neighbors algorithm Information Cognition Computing
24	“What is... Dengue Fever?” Modeling and Predicting Pronunciation Errors in a Text-to-Speech System Andrew Rosenberg1 , Raul Fernandez2 , Bhuvana Ramabhadran2 1 Computer Science Department, Queens College (CUNY), New Add to Reading List Source URL: speech.cs.qc.cuny.edu Language: English - Date: 2012-10-05 14:14:23 Machine learning Statistical classification Support vector machine Ensemble learning Supervised learning Binary classification Classifier Cognition Sampling Information Cognitive science Probabilistic classification
25	Ensemble Modeling Get More Out of Your Predictive Modeling Gary Robinson COO \| Lityx LLC Just as an ensemble is a collection of parts that contribute to a single effect, ensemble modeling is multiple Add to Reading List Source URL: www.lityx.com Language: English - Date: 2016-06-22 16:24:02 Statistics Regression analysis Statistical models Business intelligence CHAID Estimation theory Logistic regression Predictive modelling Regression validation Conceptual model Predictive analytics
26	On Channel Reliability Measure Training for Multi-Camera Face Recognition Binglong Xie, Visvanathan Ramesh, Ying Zhu Terry Boult Real-Time Vision and Modeling Dept. Add to Reading List Source URL: vast.uccs.edu Language: English - Date: 2007-03-17 11:19:55 Artificial intelligence Machine learning Ensemble learning Learning AdaBoost Boosting Statistical classification K-nearest neighbors algorithm Pattern recognition ViolaJones object detection framework CoBoosting
27	Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2 Add to Reading List Source URL: vision.ucsd.edu Language: English Artificial intelligence Ensemble learning Learning Machine learning Statistical classification Cascading classifiers AdaBoost Boosting Face recognition Classifier Supervised learning Linear discriminant analysis
28	PDF Document Add to Reading List Source URL: iprc.soest.hawaii.edu Language: English - Date: 2012-03-05 22:08:25 James Annan Downscaling Japan Agency for Marine-Earth Science and Technology Statistical ensemble
29	FaceTracer: A Search Engine for Large Collections of Images with Faces Neeraj Kumar1⋆ , Peter Belhumeur1 , and Shree Nayar1 Columbia University Abstract. We have created the first image search engine based entirely Add to Reading List Source URL: www.cs.columbia.edu Language: English - Date: 2009-05-20 16:26:00 Artificial intelligence Statistical classification Ensemble learning Statistics Learning AdaBoost Support vector machine Linear discriminant analysis Classifier ViolaJones object detection framework Cascading classifiers
30	ACCEPTED C ONFERENCE ON C OMPUTER V ISION Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2006-01-16 09:17:12 Artificial intelligence Ensemble learning Face recognition Feature detection Machine learning ViolaJones object detection framework Boosting AdaBoost Statistical classification Pattern recognition Support vector machine Cascading classifiers

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