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» Algorithms for Generation in Lambek Theorem Proving
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NECO
2008
170views more  NECO 2008»
13 years 5 months ago
Representational Power of Restricted Boltzmann Machines and Deep Belief Networks
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
Nicolas Le Roux, Yoshua Bengio
ACL2
2006
ACM
13 years 11 months ago
A verifying core for a cryptographic language compiler
A verifying compiler is one that emits both object code and a proof of correspondence between object and source code.1 We report the use of ACL2 in building a verifying compiler f...
Lee Pike, Mark Shields, John Matthews
POPL
2010
ACM
14 years 2 months ago
Dependent Types from Counterexamples
d by recent research in abstract model checking, we present a new approach to inferring dependent types. Unlike many of the existing approaches, our approach does not rely on prog...
Tachio Terauchi
JCDL
2006
ACM
161views Education» more  JCDL 2006»
13 years 11 months ago
Learning metadata from the evidence in an on-line citation matching scheme
Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for sci...
Isaac G. Councill, Huajing Li, Ziming Zhuang, Sand...