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» Learning Approximate Consistencies
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TSP
2010
14 years 8 months ago
Double sparsity: learning sparse dictionaries for sparse signal approximation
Abstract--An efficient and flexible dictionary structure is proposed for sparse and redundant signal representation. The proposed sparse dictionary is based on a sparsity model of ...
Ron Rubinstein, Michael Zibulevsky, Michael Elad
ICML
2007
IEEE
16 years 2 months ago
Approximate maximum margin algorithms with rules controlled by the number of mistakes
We present a family of incremental Perceptron-like algorithms (PLAs) with margin in which both the "effective" learning rate, defined as the ratio of the learning rate t...
Petroula Tsampouka, John Shawe-Taylor
ECML
2006
Springer
15 years 5 months ago
An Efficient Approximation to Lookahead in Relational Learners
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
Jan Struyf, Jesse Davis, C. David Page Jr.
105
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ICDT
2007
ACM
118views Database» more  ICDT 2007»
15 years 5 months ago
Approximate Data Exchange
Abstract. We introduce approximate data exchange, by relaxing classical data exchange problems such as Consistency and Typechecking to their approximate versions based on Property ...
Michel de Rougemont, Adrien Vieilleribière
DBPL
2005
Springer
130views Database» more  DBPL 2005»
15 years 7 months ago
Complexity and Approximation of Fixing Numerical Attributes in Databases Under Integrity Constraints
Consistent query answering is the problem of computing the answers from a database that are consistent with respect to certain integrity constraints that the database as a whole ma...
Leopoldo E. Bertossi, Loreto Bravo, Enrico Francon...