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JMLR
2010
107views more  JMLR 2010»
14 years 10 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
ECCV
2008
Springer
16 years 5 months ago
Output Regularized Metric Learning with Side Information
Distance metric learning has been widely investigated in machine learning and information retrieval. In this paper, we study a particular content-based image retrieval application ...
Wei Liu, Steven C. H. Hoi, Jianzhuang Liu
BMCBI
2005
125views more  BMCBI 2005»
15 years 3 months ago
Query3d: a new method for high-throughput analysis of functional residues in protein structures
Background: The identification of local similarities between two protein structures can provide clues of a common function. Many different methods exist for searching for similar ...
Gabriele Ausiello, Allegra Via, Manuela Helmer-Cit...
153
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CCS
2008
ACM
15 years 6 months ago
User-controllable learning of security and privacy policies
Studies have shown that users have great difficulty specifying their security and privacy policies in a variety of application domains. While machine learning techniques have succ...
Patrick Gage Kelley, Paul Hankes Drielsma, Norman ...
BMCBI
2010
106views more  BMCBI 2010»
15 years 4 months ago
Multiple structure alignment and consensus identification for proteins
Background: An algorithm is presented to compute a multiple structure alignment for a set of proteins and to generate a consensus (pseudo) protein which captures common substructu...
Ivaylo Ilinkin, Jieping Ye, Ravi Janardan