'Multi label' diaporamas de présentation

Processing of large document collections

Processing of large document collections. Part 2 (Text categorization, term selection) Helena Ahonen-Myka Spring 2005. Text categorization, continues. problem setting machine learning approach example of a learner: Rocchio method term selection (for text categorization).

524 views • 52 slides

Processing of large document collections

Processing of large document collections. Part 2 (Text categorization) Helena Ahonen-Myka Spring 2006. Text categorization, continues. problem setting machine learning approach example of a learning method: Rocchio. Text categorization: problem setting. let

497 views • 35 slides

Document Categorization

Document Categorization. Problem: given a collection of documents, and a taxonomy of subject areas Classification : Determine the subject area(s) most pertinent to each document Indexing : Select a set of keywords / index terms appropriate to each document. Classification Techniques.

709 views • 25 slides

A k -Nearest Neighbor Based Algorithm for Multi-Label Classification

http://lamda.nju.edu.cn. A k -Nearest Neighbor Based Algorithm for Multi-Label Classification. Min-Ling Zhang zhangml@lamda.nju.edu.cn. Zhi-Hua Zhou zhouzh@nju.edu.cn. National Laboratory for Novel Software Technology Nanjing University, Nanjing, China July 26, 2005. Outline.

560 views • 19 slides

A k -Nearest Neighbor Based Algorithm for Multi-Label Classification

http://lamda.nju.edu.cn. A k -Nearest Neighbor Based Algorithm for Multi-Label Classification. Min-Ling Zhang zhangml@lamda.nju.edu.cn. Zhi-Hua Zhou zhouzh@nju.edu.cn. National Laboratory for Novel Software Technology Nanjing University, Nanjing, China July 26, 2005. Outline.

289 views • 19 slides

Multi-Kernel Multi-Label Learning with Max-Margin Concept Network

Multi-Kernel Multi-Label Learning with Max-Margin Concept Network. 1 Wei Zhang, 1 Xiangyang Xue , 2 Jianping Fan , 1 Xiaojing Huang, 1 Bin Wu, 1 Mingjie Liu 1 Fudan University, China ; 2 UNCC, USA { weizh , xyxue }@ fudan.edu.cn. Content. Motivation Overview

279 views • 15 slides

Shuang-Hong Yang, Hongyuan Zha, Bao-Gang Hu NIPS2009

240 views • 13 slides