Classifier - PDFSEARCH.IO - Document Search Engine

Classifier
Results: 1687

#	Item
951	JOURNAL OF LATEX CLASS FILES, VOL. 1, NO. 8, AUGUST[removed]Discriminative Feature Co-occurrence Selection for Object Detection Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2007-08-08 04:33:06 Statistical classification Learning Parts of speech Machine learning AdaBoost Classifier Boosting Naive Bayes classifier Support vector machine Statistics Ensemble learning Artificial intelligence
952	Journal of Machine Learning Research[removed]3181 Submitted 11/13; Revised 4/14; Published[removed]Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2014-11-02 15:45:55 Ensemble learning Parts of speech Naive Bayes classifier Linear discriminant analysis Boosting Support vector machine Classifier Perceptron Random forest Statistics Machine learning Statistical classification
953	Active Feature-Value Acquisition for Classifier Induction Prem Melville Dept. of Computer Sciences Univ. of Texas at Austin [removed] Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2004-10-13 12:26:03 Measurement Psychometrics Supervised learning Cross-validation Accuracy and precision Uncertainty Statistics Machine learning Statistical theory
954	NONPARAMETRIC CLASSIFICATION TECHNIQUES C&PE 940, 30 November[removed]Geoff Bohling Add to Reading List Source URL: people.ku.edu Language: English - Date: 2008-10-07 13:58:56 Regression analysis Kernel density estimation Density estimation Naive Bayes classifier Kernel Supervised learning Probability density function K-nearest neighbor algorithm Statistics Non-parametric statistics Nonparametric regression
955	Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition Jia Deng1,2 , Sanjeev Satheesh1 , Alexander C. Berg3 , Li Fei-Fei1 Computer Science Department, Stanford University1 Computer Science De Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:18:28 Support vector machine Classifier Multiclass classification Boosting methods for object categorization Random subspace method Statistics Statistical classification Linear classifier
956	Credal Ensembles of Classifiers G. Corania,∗, A. Antonuccia a IDSIA Istituto Dalle Molle di Studi sull’Intelligenza Artificiale CH-6928 Manno (Lugano), Switzerland Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2012-11-12 17:31:27 Averaged one-dependence estimators Statistical theory Bayesian inference Naive Bayes classifier Machine learning Credal set Ensemble learning Minimum description length Information theory Statistics Bayesian statistics Statistical classification
957	A Bayesian Wilcoxon signed-rank test based on the Dirichlet process Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2014-05-09 11:10:05 Bayesian statistics Hypothesis testing Statistical inference Sign test Wilcoxon signed-rank test Bayes factor Naive Bayes classifier Statistical hypothesis testing Statistical power Statistics Statistical tests Non-parametric statistics
958	Vol2_05Spring†Q‘oŠÍŠp.PDF Add to Reading List Source URL: www.nec.com Language: English - Date: 2013-10-21 08:29:52 Statistical classification Linear algebra Abstract algebra Computational learning theory Operator theory Support vector machine Vector space Margin classifier Space Algebra Mathematics Statistics
959	Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification Li-Jia Li1 , Hao Su1 , Eric P. Xing2 , Li Fei-Fei1 1 Computer Science Department, Stanford University 2 Machine Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:29:30 One-shot learning Shape context Scale space Part-based models LabelMe Object recognition Pose Linear classifier Supervised learning Computer vision Vision Imaging
960	Detecting Denial of Service Attacks with Bayesian Classifiers and the Random Neural Network ¨ G¨ulay Oke, George Loukas, Erol Gelenbe Abstract— Denial of Service (DoS) is a prevalent threat in Add to Reading List Source URL: san.ee.ic.ac.uk Language: English - Date: 2007-04-26 10:04:20 Random neural network Computational neuroscience Computational statistics Denial-of-service attack Erol Gelenbe Artificial neural network Likelihood function Naive Bayes classifier Histogram Statistics Neural networks Bayesian statistics