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» Some Theory for Generalized Boosting Algorithms
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EDBT
2010
ACM
177views Database» more  EDBT 2010»
15 years 8 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»
14 years 9 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
15 years 8 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
15 years 6 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
16 years 3 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...