Ensemble learning

Results: 532



#Item
21Artificial intelligence / Learning / Machine learning / Ensemble learning / Boosting / AdaBoost / Pattern recognition / Discriminative model / Image segmentation / Statistical classification / Multiclass classification / Cascading classifiers

C:/usr/ztu/Document/paper/conference/2005/iccv_05/Boosting_tree/pbt_final.dvi

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Source URL: pages.ucsd.edu

Language: English - Date: 2005-07-21 18:15:28
22Machine learning / Artificial intelligence / Learning / Ensemble learning / Statistical classification / AdaBoost / Support vector machine / Boosting / Kernel method / Voxel / Image segmentation / Functional magnetic resonance imaging

1 Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer’s Disease through Automated Hippocampal Segmentation Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, and

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Source URL: pages.ucsd.edu

Language: English - Date: 2010-04-14 20:51:16
23Statistical classification / Machine learning / Artificial intelligence / Learning / Statistics / Least squares / Ensemble learning / ViolaJones object detection framework / K-nearest neighbors algorithm

Least Squares Classification Stephen Boyd EE103 Stanford University November 5, 2015

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Source URL: stanford.edu

Language: English - Date: 2015-11-05 13:10:49
24Statistical classification / Artificial intelligence / Machine learning / Learning / Classifier chains / Multi-label classification / Multiclass classification / Support vector machine / Naive Bayes classifier / AdaBoost / Ensemble learning / Boosting

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

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Source URL: users.ics.aalto.fi

Language: English - Date: 2010-10-25 05:10:52
25Artificial intelligence / Natural language processing / Linguistics / Computational linguistics / Semantics / Statistical classification / Ensemble learning / SemEval / Word-sense disambiguation / Sentiment analysis / Boosting / Support vector machine

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,

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Source URL: giusepperizzo.github.io

Language: English - Date: 2016-08-05 11:54:54
26Statistical classification / Classifier chains / Machine learning / Multi-label classification / Ensemble learning / Support vector machine / Classifier / K-nearest neighbors algorithm / Information / Cognition / Computing

Classifier Chains for Multi-label Classification Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank University of Waikato, Hamilton, New Zealand Experiments Introduction

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Source URL: jmread.github.io

Language: English - Date: 2016-05-18 09:25:59
27Machine learning / Statistical classification / Support vector machine / Ensemble learning / Supervised learning / Binary classification / Classifier / Cognition / Sampling / Information / Cognitive science / Probabilistic classification

“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

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Source URL: speech.cs.qc.cuny.edu

Language: English - Date: 2012-10-05 14:14:23
28Artificial intelligence / Machine learning / Ensemble learning / Learning / AdaBoost / Boosting / Statistical classification / K-nearest neighbors algorithm / Pattern recognition / ViolaJones object detection framework / CoBoosting

On Channel Reliability Measure Training for Multi-Camera Face Recognition Binglong Xie, Visvanathan Ramesh, Ying Zhu Terry Boult Real-Time Vision and Modeling Dept.

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Source URL: vast.uccs.edu

Language: English - Date: 2007-03-17 11:19:55
29Artificial intelligence / Ensemble learning / Learning / Machine learning / Statistical classification / Cascading classifiers / AdaBoost / Boosting / Face recognition / Classifier / Supervised learning / Linear discriminant analysis

Detecting Particles in Cryo-EM Micrographs using Learned Features Satya P. Mallick1 Yuanxin Zhu2

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Source URL: vision.ucsd.edu

Language: English
30Artificial intelligence / Statistical classification / Ensemble learning / Statistics / Learning / AdaBoost / Support vector machine / Linear discriminant analysis / Classifier / ViolaJones object detection framework / Cascading classifiers

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

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Source URL: www.cs.columbia.edu

Language: English - Date: 2009-05-20 16:26:00
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