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Ensemble learning
Results: 532

#	Item
121	A Deep Learning Approach with an Ensemble-Based Neural Network Classifier for Black Box ICML 2013 Contest Lukasz Romaszko University of Warsaw, Poland Add to Reading List Source URL: deeplearning.net Language: English - Date: 2013-06-08 11:08:14
122	Automatic Detection of Craters in Planetary Images: An Embedded Framework Using Feature Selection and Boosting Wei Ding1 , Tomasz F. Stepinski2 , Lourenco Bandeira3 , Ricardo Vilalta4 Youxi Wu5 , Zhenyu Lu5 , and Tianyu Add to Reading List Source URL: www.cs.umb.edu Language: English - Date: 2010-09-05 18:04:21 Learning Computational statistics Lunar science Supervised learning Lunar craters AdaBoost Impact crater Boosting Müller Ensemble learning Machine learning Artificial intelligence
123	An ensemble of classiﬁers approach with multiple sources of information Roberto Santana, Concha Bielza, Pedro Larrañaga Departamento de Inteligencia Artiﬁcial, Universidad Politécnica de Madrid roberto.santana@upm. Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2012-01-05 06:58:35 Machine learning Econometrics Covariance and correlation Correlation and dependence Feature selection Decision tree learning Cross-validation Logistic regression Statistics Regression analysis Model selection
124	B ARCELONA G RADUATE S CHOOL OF E CONOMICS - D ATA S CIENCE Random Forest Cover Type Prediction Jéssica Leal, Tim Kreienkamp and Philipp Schmidt Add to Reading List Source URL: dl.dropboxusercontent.com Language: English Ensemble learning Decision trees Regression analysis Random forest Cross-validation Overfitting Gradient boosting Boosting Decision tree learning Machine learning Statistics Computational statistics
125	Chained Boosting Christian R. Shelton University of California Riverside CA 92521 Add to Reading List Source URL: www.cs.ucr.edu Language: English - Date: 2007-01-10 19:03:50 Learning AdaBoost Margin classifier Statistical classification Viola–Jones object detection framework LPBoost Statistics Artificial intelligence Ensemble learning
126	Ensemble Methods: committee-based learning Jay Hyer linkedin.com/in/jayhyer @aDataHead Add to Reading List Source URL: adataheadsdiary.files.wordpress.com Language: English - Date: 2013-12-20 15:31:27 Bootstrap aggregating Random forest Machine learning Ensemble learning AdaBoost
127	Exploiting Competition Relationship for Robust Visual Recognition Liang Du Haibin Ling Center for Data Analytics and Biomedical Informatics Add to Reading List Source URL: www.dabi.temple.edu Language: English - Date: 2014-04-21 21:56:26 Learning AdaBoost Generalized additive model Pattern recognition Boosting Statistical classification Machine learning Ensemble learning Artificial intelligence
128	CudaTree Training Random Forests on the GPU Alex Rubinsteyn (NYU, Mount Sinai) @ GTC on March 25th, 2014 Add to Reading List Source URL: www.rubinsteyn.com Language: English - Date: 2015-02-02 14:12:28 Random forest Tree Decision tree model Learning Applied mathematics Decision trees Ensemble learning Artificial intelligence
129	LEARNING-BASED AUTOMATIC BREAST TUMOR DETECTION AND SEGMENTATION IN ULTRASOUND IMAGES Peng Jiang1 , Jingliang Peng1 , Guoquan Zhang2 , Erkang Cheng3 , Vasileios Megalooikonomou3 , Haibin Ling3 1 School of Computer Scien Add to Reading List Source URL: www.dabi.temple.edu Language: English - Date: 2012-02-11 01:36:54 Ensemble learning Health Image processing Face recognition Statistical classification AdaBoost Segmentation Computer-aided diagnosis Face detection Computer vision Artificial intelligence Medicine
130	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 Computational statistics Machine learning Face recognition AdaBoost Parts of speech Classifier Boosting Statistical classification Supervised learning Artificial intelligence Ensemble learning Learning

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