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Hierarchical classifier
Results: 19

#	Item
1	On-line Hierarchical Multi-label Text Classification Jesse Read September 7, 2007 On-line Hierarchical Multi-label Text Classification Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2010-10-25 05:10:53 Statistical classification Machine learning Artificial intelligence Learning Statistics Multi-label classification Naive Bayes classifier Classifier AdaBoost Document classification Binary classification Classifier chains
2	Deep Classifier for Large Scale Hierarchical Text Classification Dingquan Wang, Weinan Zhang, Gui-Rong Xue, and Yong Yu Dept. of Computer Science and Engineering, Shanghai Jiao Tong University, Dongchuan Road. 800, 20024 Add to Reading List Source URL: www0.cs.ucl.ac.uk Language: English - Date: 2012-10-22 20:10:23
3	Predicting Library of Congress Classifications From Library of Congress Subject Headings Eibe Frank Department of Computer Science University of Waikato Add to Reading List Source URL: www.cs.waikato.ac.nz Language: English - Date: 2004-07-25 19:48:49 Information Statistical classification Machine learning Thesauri Library of Congress Subject Headings Library classification MARC standards Library of Congress Classification Hierarchical classifier Statistics Library science Knowledge representation
4	Recursive Regularization for Large-scale Classification with Hierarchical and Graphical Dependencies∗ Siddharth Gopal Yiming Yang Add to Reading List Source URL: nyc.lti.cs.cmu.edu Language: English - Date: 2013-09-29 12:55:31 Hierarchical Bayes model Regularization Linear classifier Cross-validation Hierarchy Statistics Statistical classification Support vector machine
5	Mixed-effects inference for classification studies Release v1.04 (r19160) for MATLAB, March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested o Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2015-01-04 06:15:14 Bayesian inference Deduction Psychometrics Statistical inference Bayes factor Beta-binomial distribution Variational Bayesian methods Inference Normal distribution Statistics Bayesian statistics Statistical theory
6	Mixed-effects inference for classification studies R package v1.02 (r19176), March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested on individ Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2015-01-04 06:15:15 Statistical theory Bayesian statistics Abduction Deduction Psychometrics Statistical inference Bayesian inference Bayes factor Inference Statistics Science Logic
7	Efficient probabilistic models for inference and learning Individual Grant Review Report EPSRC grant GR/N07394 Peter A. Flach Department of Computer Science, University of Bristol Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-03-11 07:10:48 Bayesian network Bayesian inference Bayesian probability Machine learning Hierarchical Bayes model Hidden Markov model Causality Naive Bayes classifier Gibbs sampling Statistics Bayesian statistics Probabilistic logic
8	Refined Experts Improving Classification in Large Taxonomies Paul N. Bennett Microsoft Research One Microsoft Way Redmond, WA Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-07-08 19:55:20 Support vector machine Hierarchy Tree structure Machine learning Linear classifier Binary classification Margin classifier Statistics Statistical classification Hierarchical classifier
9	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. Devis Tuiaa , R´emi Flamaryb , Nicolas Courtyc b Laboratoire a Department of Geography, University of Zurich, Switz Add to Reading List Source URL: remi.flamary.com Language: English - Date: 2015-01-14 03:20:20 Infrared imaging Signal processing Filter Hyperspectral imaging Feature selection Support vector machine Linear classifier Electronic filter Statistics Statistical classification Spectroscopy
10	¨ t Augsburg Universita Active Improvement of Hierarchical Object Features under Budget Constraints Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:08:22 Artificial intelligence Learning Support vector machine Supervised learning Margin classifier Binary classification Active learning Boosting methods for object categorization Object categorization from image search Statistics Machine learning Statistical classification

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