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78
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BMCBI
2007
91views more  BMCBI 2007»
15 years 28 days ago
A machine learning approach for the identification of odorant binding proteins from sequence-derived properties
Background: Odorant binding proteins (OBPs) are believed to shuttle odorants from the environment to the underlying odorant receptors, for which they could potentially serve as od...
Ganesan Pugalenthi, E. Ke Tang, Ponnuthurai N. Sug...
180
Voted

Book
640views
16 years 11 months ago
Introduction to Pattern Recognition
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
Sargur Srihari
78
Voted
ICCV
2009
IEEE
1019views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Similarity Functions for Categorization: from Monolithic to Category Specific
Similarity metrics that are learned from labeled training data can be advantageous in terms of performance and/or efficiency. These learned metrics can then be used in conjuncti...
Boris Babenko, Steve Branson, Serge Belongie
134
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OTM
2004
Springer
15 years 6 months ago
A Grid-Based Approach for Processing Group Activity Log Files
The information collected regarding group activity in a collaborative learning environment requires classifying, structuring and processing. The aim is to process this information ...
Fatos Xhafa, Santi Caballé, Thanasis Darado...
ICML
1999
IEEE
15 years 5 months ago
Feature Engineering for Text Classification
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
Sam Scott, Stan Matwin