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AdaBoost
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131	d:/conf/mcs/paper/llncs.dvi Add to Reading List Source URL: web.engr.oregonstate.edu Language: English - Date: 2011-11-12 21:33:04 Supervised learning Boosting Bootstrap aggregating C4.5 algorithm Machine learning Ensemble learning AdaBoost
132	Information Extraction of Multiple Categories from Pathology Reports David Martinez Yue Li NICTA VRL NICTA VRL Melbourne, Australia Add to Reading List Source URL: www.alta.asn.au Language: English - Date: 2010-12-21 22:09:08 Naive Bayes classifier Support vector machine Multiclass classification Feature selection Classifier SNOMED CT Statistics Statistical classification AdaBoost
133	........................................................................... STAT 538 Final Exam Wednesday March 20, 2013, 4:30-6:20 Student name: .......................................................... Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Convex analysis Statistical classification Operations research AdaBoost Ensemble learning Convex optimization Support vector machine XTR Function Mathematics Statistics Mathematical optimization
134	A System for Traffic Sign Detection, Tracking, and Recognition Using Color, Shape, and Motion Information Claus Bahlmann∗ , Ying Zhu∗ , Visvanathan Ramesh∗ ∗ Siemens Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English - Date: 2012-06-18 23:39:57 Vision Imaging Ensemble learning Face recognition AdaBoost Face detection Viola–Jones object detection framework Wavelet Scale space Artificial intelligence Computer vision Image processing
135	Real-time Recognition of U.S. Speed Signs Christoph Gustav Keller1 , Christoph Sprunk1, Claus Bahlmann2, Jan Giebel3 and Gregory Baratoff3 1 Computer Science Department Albert-Ludwigs-University Freiburg Add to Reading List Source URL: lmb.informatik.uni-freiburg.de Language: English - Date: 2012-06-18 23:40:19 Road safety Face recognition Viola–Jones object detection framework Traffic sign Intelligent transportation system Receiver operating characteristic Speed limit AdaBoost Signage Transport Land transport Road transport
136	........................................................................... STAT 538 Midterm Exam February 19, 2pm – February 21, 2013, 11:30am • take home exam Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-03-11 22:28:29 Mathematics Statistical classification Convex analysis Machine learning AdaBoost Convex function Mathematical optimization Linear classifier Boosting Ensemble learning Mathematical analysis Statistics
137	Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection Rainer Lienhart, Alexander Kuranov, Vadim Pisarevsky Microprocessor Research Lab, Intel Labs Intel Corporation, Santa Clara, CA 9 Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:04:59 Computational statistics AdaBoost Haar-like features Statistical classification Boosting Face detection Classifier Boosting methods for object categorization Viola–Jones object detection framework Artificial intelligence Ensemble learning Learning
138	3-3 S tudies on Countermeasures for Thwarting Spoofing Attacks — Cases of IP Address Spoofing and Web Spoofing — MIYAMOTO Daisuke, HAZEYAMA Hiroaki, and KADOBAYASHI Youki This article intends to give case studies f Add to Reading List Source URL: www.nict.go.jp Language: English - Date: 2013-11-21 21:06:17 Network architecture Spamming Phishing IP traceback IP address spoofing Traceability IP address AdaBoost Border Gateway Protocol Internet Computing Social engineering
139	Machine Learning, vv, 1–[removed]c 1998 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. An Empirical Comparison of Voting Classification Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 1998-10-19 18:24:53 Statistical classification Computational statistics Statistical inference AdaBoost Boosting Supervised learning Naive Bayes classifier Bootstrap aggregating Multiclass classification Statistics Machine learning Ensemble learning
140	Empirical Investigation of Multi-tier Ensembles for the Detection of Cardiac Autonomic Neuropathy Using Subsets of the Ewing Features J. Abawajy1 , A.V. Kelarev1 , A. Stranieri2 , H.F. Jelinek3 1 Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-11-26 06:31:24 Ensemble learning AdaBoost Classifier Naive Bayes classifier Boosting Multiclass classification Binary classification Support vector machine Random forest Machine learning Statistics Statistical classification

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