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» Predicting Query Performance via Classification
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GIS
2007
ACM
14 years 10 months ago
Where were we: communities for sharing space-time trails
We consider trails to be a document type of growing importance, authored in abundance as locative technologies become embedded in mobile devices carried by billions of humans. As ...
Scott Counts, Marc Smith
NIPS
2004
13 years 11 months ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...
PAMI
2008
208views more  PAMI 2008»
13 years 9 months ago
BoostMap: An Embedding Method for Efficient Nearest Neighbor Retrieval
This paper describes BoostMap, a method for efficient nearest neighbor retrieval under computationally expensive distance measures. Database and query objects are embedded into a v...
Vassilis Athitsos, Jonathan Alon, Stan Sclaroff, G...
BMCBI
2004
101views more  BMCBI 2004»
13 years 9 months ago
A database for G proteins and their interaction with GPCRs
Background: G protein-coupled receptors (GPCRs) transduce signals from extracellular space into the cell, through their interaction with G proteins, which act as switches forming ...
Antigoni L. Elefsinioti, Pantelis G. Bagos, Ioanni...
BMCBI
2010
113views more  BMCBI 2010»
13 years 9 months ago
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
Background: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools ar...
Lars Carlsson, Ola Spjuth, Samuel Adams, Robert C....