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» Learning Instance-Specific Predictive Models
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RECOMB
2003
Springer
14 years 9 months ago
Modeling dependencies in protein-DNA binding sites
The availability of whole genome sequences and high-throughput genomic assays opens the door for in silico analysis of transcription regulation. This includes methods for discover...
Yoseph Barash, Gal Elidan, Nir Friedman, Tommy Kap...
INTERACT
2003
13 years 10 months ago
The Misapplication of Engineering Models to Business Decisions
: The HCI community has long been accused of delivering ‘common sense’, ‘useless’ information, and to be ignorant of business needs. HCI experts are also criticized for fai...
Gitte Lindgaard
DEBU
2006
163views more  DEBU 2006»
13 years 8 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
KDD
2008
ACM
132views Data Mining» more  KDD 2008»
14 years 9 months ago
Partitioned logistic regression for spam filtering
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Ming-wei Chang, Wen-tau Yih, Christopher Meek
KDD
2005
ACM
73views Data Mining» more  KDD 2005»
14 years 9 months ago
Using relational knowledge discovery to prevent securities fraud
We describe an application of relational knowledge discovery to a key regulatory mission of the National Association of Securities Dealers (NASD). NASD is the world's largest...
Özgür Simsek, David Jensen, Henry G. Gol...