Ensemble learning

Results: 532



#Item
401Gradient boosting / Supervised learning / Kernel trick / Regression analysis / Normal distribution / Boosting / Least squares / Machine learning / Statistics / Ensemble learning

Gradient Boosting for Kernelized Output Spaces Pierre Geurts1,2 [removed] Louis Wehenkel2 [removed]

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:25:54
402Ensemble learning / Statistical classification / Support vector machine / AdaBoost / Haar-like features / Content-based image retrieval / Classifier / Boosting methods for object categorization / Histogram of oriented gradients / Computer vision / Artificial intelligence / Statistics

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: www1.cs.columbia.edu

Language: English - Date: 2009-05-20 16:26:00
403Ensemble learning / AdaBoost / Linear classifier / Naive Bayes classifier / Boosting / Normal distribution / Support vector machines / LPBoost / Margin classifier / Machine learning / Statistics / Statistical classification

PAC-Bayesian Learning of Linear Classifiers Pascal Germain [removed] Alexandre Lacasse [removed]

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Source URL: www.machinelearning.org

Language: English - Date: 2009-05-18 12:16:54
404Categorical data / Statistical models / Logistic regression / Ensemble learning / Gradient boosting / Predictive analytics / Regression dilution / Statistics / Regression analysis / Econometrics

Thesis_summary_expanded.indd

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Source URL: info.alaska.edu

Language: English - Date: 2014-01-28 17:09:59
405AdaBoost / Random forest / BrownBoost / LogitBoost / Overfitting / Statistical classification / Machine learning / Ensemble learning / Boosting

Introduction Boosting Random Forests

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Source URL: datamining.anu.edu.au

Language: English - Date: 2011-05-31 01:27:15
406Ensemble learning / Regression analysis / Data analysis / Data mining / Random forest / Logistic regression / Decision tree learning / Data set / Nonparametric regression / Statistics / Machine learning / Decision trees

Big Data: New Tricks for Econometrics Hal R. Varian∗ June 2013 Revised: April 14, 2014 Abstract

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Source URL: people.ischool.berkeley.edu

Language: English - Date: 2014-04-14 14:56:01
407Theoretical 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
408Naive Bayes classifier / Binary classification / Gain / Boosting / Support vector machine / Receiver operating characteristic / Classifier / Æ / Ensemble learning / Statistics / Statistical classification / Multiclass classification

Delegating Classifiers C´esar Ferri Dep. de Sist. Inform`atics i Computaci´o, Univ. Polit`ecnica de Val`encia, Spain. Peter Flach Department of Computer Science, University of Bristol, UK.

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:20:28
409Mathematics / AdaBoost / XK / Boosting / Monte Carlo method / Machine learning / Ensemble learning / Applied mathematics / Artificial intelligence

A Monte Carlo Analysis of Ensemble Classification Roberto Esposito [removed] Dipartimento di Informatica, Universit` a di Torino, C.so Svizzera 185, 10149 Torino, Italy

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Source URL: www.machinelearning.org

Language: English - Date: 2008-12-01 11:19:53
410Learning / Ensemble learning / AdaBoost / Supervised learning / Prediction market / Support vector machine / Classifier / Statistics / Statistical classification / Machine learning

Supervised Aggregation of Classifiers using Artificial Prediction Markets

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Source URL: www.icml2010.org

Language: English - Date: 2010-06-13 09:06:58
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