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» Some Theory for Generalized Boosting Algorithms
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EDBT
2010
ACM
177views Database» more  EDBT 2010»
14 years 3 months ago
Bridging the gap between intensional and extensional query evaluation in probabilistic databases
There are two broad approaches to query evaluation over probabilistic databases: (1) Intensional Methods proceed by manipulating expressions over symbolic events associated with u...
Abhay Jha, Dan Olteanu, Dan Suciu
CORR
2010
Springer
139views Education» more  CORR 2010»
13 years 4 months ago
Data Cleaning and Query Answering with Matching Dependencies and Matching Functions
Matching dependencies were recently introduced as declarative rules for data cleaning and entity resolution. Enforcing a matching dependency on a database instance identifies the ...
Leopoldo E. Bertossi, Solmaz Kolahi, Laks V. S. La...
CADE
2007
Springer
14 years 3 months ago
Semantic Selection of Premisses for Automated Theorem Proving
We develop and implement a novel algorithm for discovering the optimal sets of premisses for proving and disproving conjectures in first-order logic. The algorithm uses interpret...
Petr Pudlak
COLT
1999
Springer
14 years 1 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
ICPR
2006
IEEE
14 years 10 months ago
Estimating the location of illuminants in realist master paintings Computer image analysis addresses a debate in art history of
In cast-shadow analysis one merely draws a line between each occluder and its associated shadow cast onto a different surface, possibly with wedges indicating precision. In some c...