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» Learning Useful Horn Approximations
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IPSN
2010
Springer
14 years 2 months ago
Online distributed sensor selection
A key problem in sensor networks is to decide which sensors to query when, in order to obtain the most useful information (e.g., for performing accurate prediction), subject to co...
Daniel Golovin, Matthew Faulkner, Andreas Krause
SIGUCCS
2003
ACM
14 years 20 days ago
Macintosh OS X: a smooth migration
The Ringling School of Art and Design is a fully accredited four year college of visual art and design with a student population of approximately 1000. The Ringling School has ach...
Scott E. Hanselman, Mahmoud Pegah
JMLR
2008
168views more  JMLR 2008»
13 years 7 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...
POPL
2007
ACM
14 years 7 months ago
Program verification as probabilistic inference
In this paper, we propose a new algorithm for proving the validity or invalidity of a pre/postcondition pair for a program. The algorithm is motivated by the success of the algori...
Sumit Gulwani, Nebojsa Jojic

Lab
667views
14 years 4 months ago
Digital Systems and Media Computing Laboratory - DSMC
The Digital Systems and Media Computing Laboratory (DSMC Lab) was established in the end of 2002 and is located in Patras, Greece. DSMC operates under the School of Sciences and Te...