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BIBM
2007
IEEE
16 years 29 days ago
A Semi-supervised Learning Approach to Disease Gene Prediction
Discovering human disease-causing genes (disease genes in short) is one of the most challenging problems in bioinformatics and biomedicine, as most diseases are related in some wa...
Thanh Phuong Nguyen, Tu Bao Ho
ICDM
2007
IEEE
150views Data Mining» more  ICDM 2007»
16 years 28 days ago
Connections between Mining Frequent Itemsets and Learning Generative Models
Frequent itemsets mining is a popular framework for pattern discovery. In this framework, given a database of customer transactions, the task is to unearth all patterns in the for...
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, Ra...
SIGIR
2006
ACM
16 years 17 days ago
Learning to advertise
Content-targeted advertising, the task of automatically associating ads to a Web page, constitutes a key Web monetization strategy nowadays. Further, it introduces new challenging...
Anísio Lacerda, Marco Cristo, Marcos Andr&e...
MM
2005
ACM
99views Multimedia» more  MM 2005»
16 years 5 days ago
To learn representativeness of video frames
With the rapid explosion of video data, compact representation of videos is becoming more and more desirable for efficient browsing and communication, which leads to a number of r...
Hong-Wen Kang, Xian-Sheng Hua
183
Voted
ECML
2005
Springer
16 years 4 days ago
Thwarting the Nigritude Ultramarine: Learning to Identify Link Spam
The page rank of a commercial web site has an enormous economic impact because it directly influences the number of potential customers that find the site as a highly ranked sear...
Isabel Drost, Tobias Scheffer