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ICMLC
2010
Springer
13 years 5 months ago
A comparative study on two large-scale hierarchical text classification tasks' solutions
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
Jian Zhang, Hai Zhao, Bao-Liang Lu
WWW
2004
ACM
14 years 8 months ago
Learning block importance models for web pages
Some previous works show that a web page can be partitioned to multiple segments or blocks, and usually the importance of those blocks in a page is not equivalent. Also, it is pro...
Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma
DIS
2009
Springer
14 years 2 months ago
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
Annalisa Appice, Michelangelo Ceci, Donato Malerba
ICSM
2008
IEEE
14 years 2 months ago
Automated severity assessment of software defect reports
In mission critical systems, such as those developed by NASA, it is very important that the test engineers properly recognize the severity of each issue they identify during testi...
Tim Menzies, Andrian Marcus
ICSM
2002
IEEE
14 years 19 days ago
The Information Gathering Strategies of Software Maintainers
In examining software maintenance processes for improvement opportunities, an obvious choice is information flow. Obtaining accurate, up-to-date, and useful information about a sy...
Carolyn B. Seaman