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CORR
2011
Springer
174views Education» more  CORR 2011»
14 years 9 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 5 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
CORR
2002
Springer
131views Education» more  CORR 2002»
15 years 5 months ago
Ownership Confinement Ensures Representation Independence for Object-Oriented Programs
for data abstraction and justifies reasoning by simulation. Representation independence has been shown for a variety of languages and constructs but not for shared references to mu...
Anindya Banerjee, David A. Naumann
JASIS
2000
143views more  JASIS 2000»
15 years 5 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
FOCS
2010
IEEE
15 years 3 months ago
The Coin Problem and Pseudorandomness for Branching Programs
The Coin Problem is the following problem: a coin is given, which lands on head with probability either 1/2 + or 1/2 - . We are given the outcome of n independent tosses of this co...
Joshua Brody, Elad Verbin