Ensemble learning

Results: 532



#Item
311Theoretical computer science / Boosting / Mathematics / Artificial intelligence / Learning / Machine learning / Cognitive science / Ensemble learning / Algorithm / Mathematical logic

CALIFORNIA STATE SCIENCE FAIR 2014 PROJECT SUMMARY Name(s) Yelena Mandelshtam

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Source URL: www.usc.edu

Language: English - Date: 2014-04-25 17:13:32
312Machine learning / Parts of speech / Classifier / AdaBoost / Linear discriminant analysis / Support vector machine / Multi-label classification / Multiclass classification / Random forest / Statistics / Statistical classification / Ensemble learning

Bird Classification using Ensemble Classifiers Leng Yi Ren1 , Jonathan William Dennis1 , and Tran Huy Dat1 Institute for Infocomm Research, A*STAR, Singapore, [removed], [removed],

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-24 10:47:40
313Artificial intelligence / Learning / Ensemble learning / AdaBoost / Support vector machine / Protein domain / Binary classification / Statistics / Machine learning / Statistical classification

Assembling Heterogeneous Domain Adaptation Methods for Image Classification Boris Chidlovskii, Gabriela Csurka and Shalini Gangwar Xerox Research Centre Europe, 6 chemin Maupertuis, Meylan, France

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-24 09:43:06
314Image processing / Ensemble learning / Random forest / Statistical classification / Principal component analysis / Segmentation / Machine learning / Statistics / Artificial intelligence

Audio-only bird classification using unsupervised feature learning Dan Stowell and Mark D. Plumbley Centre for Digital Music, Queen Mary University of London [removed]

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-24 10:50:12
315Learning / Information retrieval / Ensemble learning / Statistical classification / Mel-frequency cepstrum / Signal processing / Support vector machine / Segmentation / Random forest / Machine learning / Statistics / Artificial intelligence

LifeCLEF Bird Identification Task 2014 Herv´e Go¨eau1 , Herv´e Glotin2 , Willem-Pier Vellinga3 , Robert Planqu´e3 , Andreas Rauber4 , and Alexis Joly1,5 1 2

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Source URL: ceur-ws.org

Language: English - Date: 2014-07-24 10:26:08
316Computational neuroscience / Science / Memory / Mental processes / Encoding / Neuron / Neural ensemble / Neural decoding / Neural networks / Mind / Neuroscience

Learning large-scale heteroassociative memories in spiking neurons Aaron Russell Voelker, Eric Crawford, Chris Eliasmith {arvoelke, e2crawfo, celiasmith}@uwaterloo.ca Centre for Theoretical Neuroscience, University of Wa

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Source URL: compneuro.uwaterloo.ca

Language: English - Date: 2014-09-17 11:30:45
317Drinkware / Mug / Teaware / Boosting / OpenCV / Statistical classification / Learning / Artificial intelligence / Ensemble learning / Machine learning

Data  Structures  Overview   For  our  final  project,  we  mainly  used  data  structures  from  the  OpenCV  library.   We   use   an   array   of  CvBoos

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Source URL: thekeesh.com

Language: English - Date: 2011-09-19 20:18:54
318Functions and mappings / Model theory / Ensemble learning / Gradient boosting / Function / Expectation–maximization algorithm / Supervised learning / First-order logic / Regression analysis / Statistics / Mathematics / Machine learning

Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption

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Source URL: first-mm.informatik.uni-freiburg.de

Language: English - Date: 2013-07-24 09:27:48
319Functions and mappings / Model theory / Ensemble learning / Gradient boosting / Function / Expectation–maximization algorithm / Supervised learning / First-order logic / Regression analysis / Statistics / Mathematics / Machine learning

Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption

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Source URL: www.first-mm.eu

Language: English - Date: 2013-07-24 09:27:48
320Model theory / Statistical models / Ensemble learning / Gradient boosting / Expectation–maximization algorithm / Function / First-order logic / Regression analysis / Supervised learning / Statistics / Mathematics / Machine learning

Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA

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Source URL: first-mm.informatik.uni-freiburg.de

Language: English - Date: 2012-07-18 16:57:18
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