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JMLR
2010
116views more  JMLR 2010»
14 years 4 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
COMPSAC
2007
IEEE
15 years 1 months ago
AOP-based automated unit test classification of large benchmarks
Despite the availability of a variety of program analysis tools, evaluation of these tools is difficult, as only few benchmark suites exist. Existing benchmark suites lack the uni...
Cyrille Artho, Zhongwei Chen, Shinichi Honiden
SIGIR
2006
ACM
15 years 3 months ago
Minimal test collections for retrieval evaluation
Accurate estimation of information retrieval evaluation metrics such as average precision require large sets of relevance judgments. Building sets large enough for evaluation of r...
Ben Carterette, James Allan, Ramesh K. Sitaraman
PKDD
2001
Springer
127views Data Mining» more  PKDD 2001»
15 years 2 months ago
Sentence Filtering for Information Extraction in Genomics, a Classification Problem
In some domains, Information Extraction (IE) from texts requires syntactic and semantic parsing. This analysis is computationally expensive and IE is potentially noisy if it applie...
Claire Nedellec, Mohamed Ould Abdel Vetah, Philipp...
CVPR
2010
IEEE
15 years 2 months ago
Taxonomic Classification for Web-based Videos
Categorizing web-based videos is an important yet challenging task. The difficulties arise from large data diversity within a category, lack of labeled data, and degradation of vi...
Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu