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Feature vector
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#	Item
111	USING DATA MINING TO PREDICT SECONDARY SCHOOL STUDENT PERFORMANCE Paulo Cortez and Alice Silva Dep. Information Systems/Algoritmi R&D Centre University of MinhoGuimar˜aes, PORTUGAL Add to Reading List Source URL: www3.dsi.uminho.pt Language: English - Date: 2008-08-01 07:17:42 Statistical classification Decision trees Support vector machine Feature selection Regression analysis Data mining Cross-validation Decision tree learning Data analysis Statistics Machine learning Model selection
112	Fast and Scalable Polynomial Kernels via Explicit Feature Maps * Ninh Pham Rasmus Pagh Add to Reading List Source URL: www.itu.dk Language: English - Date: 2013-10-15 07:20:42 Mathematical analysis Support vector machine Gaussian function Pattern recognition Projection Kernel P Statistics Mathematics Statistical classification
113	CNN Features off-the-shelf: an Astounding Baseline for Recognition Hossein Azizpour Josephine Sullivan Stefan Carlsson CVAP, KTH (Royal Institute of Technology) Stockholm, Sweden Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-03-25 20:21:16 Image search LabelMe Object recognition Geographic information system Support vector machine Segmentation Cross-validation Image retrieval Feature Computer vision Image processing Machine learning
114	IEEE TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 1 Codebook based Audio Feature Representation for Music Information Retrieval Add to Reading List Source URL: bmcfee.github.io Language: English - Date: 2015-03-31 11:15:28 Science Signal processing Representation theory of Lie groups Vector calculus Lie algebras Vector quantization Lasso Music information retrieval Mel-frequency cepstrum Information science Algebra Information retrieval
115	Feature Noising for Log-linear Structured Prediction Sida I. Wang∗, Mengqiu Wang∗, Stefan Wager† , Percy Liang, Christopher D. Manning Department of Computer Science, † Department of Statistics Stanford Universit Add to Reading List Source URL: cs.stanford.edu Language: English Artificial intelligence Supervised learning Regularization Support vector machine Pattern recognition Tikhonov regularization Semi-supervised learning Machine learning Statistics Learning
116	Web: http://www.cs.cmu.edu/∼suvrit Social: Add to Reading List Source URL: suvrit.de Language: English - Date: 2014-07-29 23:14:04 Learning Machine learning Von Mises–Fisher distribution Conference on Neural Information Processing Systems Support vector machine ALGOL 68 Mathematical optimization Data mining Feature selection Statistics Computational neuroscience Cybernetics
117	Feature Extraction—A Pattern for Information Retrieval Dragos¸-Anton Manolescu Technology determines the types and amounts of information we can access. Currently, a large fraction of information Add to Reading List Source URL: micro-workflow.com Language: English - Date: 2005-11-11 10:44:31 Machine learning Data mining Image processing Nearest neighbor search Full text search Document retrieval Search engine indexing Feature vector Feature Information science Information retrieval Searching
118	C:/Users/DuyLe/MyThesis/Final/DuyLe-Thesis-Final.dvi Add to Reading List Source URL: www.nii.ac.jp Language: English - Date: 2006-11-02 01:03:10 Dimension reduction Computer vision Face recognition Feature selection Model selection Feature extraction Face detection Support vector machine AdaBoost Statistics Machine learning Artificial intelligence
119	VECTOR CADCAM NC FEATURES, a new product, which can save up to 90% of NC Programming time An Operator Assisted Manufacturing process Invented and Developed by Centriforce NC-FEATURES is a Trademark of CENTRIFORCE of The Add to Reading List Source URL: www.imsrv.com Language: English - Date: 2009-03-14 18:20:15 Feature recognition Milling cutter Manufacturing Numerical control Fillet Machine tools SolidCAM WorkNC Computer-aided design Technology Machining
120	11th International Society for Music Information Retrieval Conference (ISMIRA CARTESIAN ENSEMBLE OF FEATURE SUBSPACE CLASSIFIERS FOR MUSIC CATEGORIZATION T. Lidy, R. Mayer, A. Rauber Vienna University of Technolo Add to Reading List Source URL: ismir2010.ismir.net Language: English - Date: 2014-01-23 13:05:26 Statistical classification Learning Ensemble learning Information retrieval AdaBoost Support vector machine International Society for Music Information Retrieval Feature selection Classifier Statistics Artificial intelligence Machine learning

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