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ICML
2009
IEEE
15 years 10 months ago
Non-monotonic feature selection
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, ...
140
Voted
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
15 years 10 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
122
Voted
HPCC
2007
Springer
15 years 9 months ago
Optimizing Array Accesses in High Productivity Languages
One of the outcomes of DARPA’s HPCS program has been the creation of three new high productivity languages: Chapel, Fortress, and X10. While these languages have introduced impro...
Mackale Joyner, Zoran Budimlic, Vivek Sarkar
108
Voted
BMCBI
2010
106views more  BMCBI 2010»
15 years 3 months ago
Selection of optimal reference genes for normalization in quantitative RT-PCR
Background: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introdu...
Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean...
142
Voted
DEBU
2007
142views more  DEBU 2007»
15 years 3 months ago
Multi-lingual Indexing Support for CLIR using Language Modeling
An indexing model is the heart of an Information Retrieval (IR) system. Data structures such as term based inverted indices have proved to be very effective for IR using vector sp...
Prasad Pingali, Vasudeva Varma