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Ensemble learning
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#	Item
151	ICML 2009 Tutorial Survey of Boosting from an Optimization Perspective Part I: Entropy Regularized LPBoost Part II: Boosting from an Optimization Perspective Add to Reading List Source URL: www.stat.purdue.edu Language: English - Date: 2009-08-21 21:11:29 Boosting Ensemble learning
152	CS156b Project1 Letter Recognition — Boosting Ling Li Learning Systems Group, Caltech Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2005-11-24 18:42:35 Boosting AdaBoost Backpropagation Machine learning Ensemble learning Neural networks
153	Microsoft Word - Behrouz_SSPR04.doc Add to Reading List Source URL: www.lon-capa.org Language: English - Date: 2010-01-03 16:31:37 Search algorithms Statistical classification Parts of speech Classifier Naive Bayes classifier Genetic algorithm Feature selection K-nearest neighbor algorithm Ensemble learning Statistics Machine learning Artificial intelligence
154	Automatic Design of Decision-Tree Induction Algorithms Rodrigo C. Barros Márcio P. Basgalupp Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2013-07-05 18:31:06 Mathematics Learning Algorithm Mathematical logic Theoretical computer science Medical algorithm Random forest Data mining Book:Machine Learning - The Complete Guide Artificial intelligence Ensemble learning Decision trees
155	PDF Document Add to Reading List Source URL: www.le.ac.uk Language: English - Date: 2003-03-14 06:20:53 Machine learning Statistical classification Learning classifier system Classifier Learning Computational statistics Data fusion Boosting Artificial intelligence Ensemble learning Parts of speech
156	Perceptron Learning with Random Coordinate Descent Ling Li Learning Systems Group, California Institute of Technology Abstract. A perceptron is a linear threshold classifier that separates examples with a hyperplane. It Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2006-04-22 18:28:41 Perceptron Linear classifier Boosting Support vector machine AdaBoost Artificial neural network Backpropagation Statistical classification Ensemble learning Machine learning Statistics Neural networks
157	Multi-Stage Contextual Deep Learning for Pedestrian Detection Xingyu Zeng Wanli Ouyang Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong Shatin, New Territories, Hong Kong Add to Reading List Source URL: www.ee.cuhk.edu.hk Language: English - Date: 2013-10-15 09:27:21 Artificial intelligence Learning Parts of speech Linear classifier Support vector machine Supervised learning Classifier Ensemble learning Statistics Machine learning Statistical classification
158	Ordinal Regression by Extended Binary Classification Hsuan-Tien Lin Learning Systems Group California Institute of Technology Add to Reading List Source URL: www.work.caltech.edu Language: English - Date: 2008-01-21 20:53:09 Ensemble learning Perceptron Support vector machine Supervised learning Margin classifier AdaBoost Regression analysis Statistics Statistical classification Machine learning
159	A Comparative Study of Discriminative Methods for Reranking LVCSR N-Best Hypotheses in Domain Adaptation and Generalization Zhengyu ZhouˈJianfeng Gao, Frank K. Soong and Helen Meng Microsoft Research {jfgao, frankkps} Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:41:27 Neural networks Statistical classification Perceptron Support vector machine Ranking SVM Boosting Feature selection AdaBoost Algorithm Machine learning Statistics Ensemble learning
160	Problems with the nested granularity of feature domains in bioinformatics: the eXtasy case Add to Reading List Source URL: www.biomedcentral.com Language: English Ensemble learning Computational statistics Data analysis Cross-validation Bootstrapping Resampling Random forest Statistical classification Synthetic data Statistics Machine learning Statistical inference

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