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» A Feature-Based Learning Method for Theorem Proving
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ICPR
2008
IEEE
14 years 14 days ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock
CADE
2008
Springer
14 years 6 months ago
MaLARea SG1- Machine Learner for Automated Reasoning with Semantic Guidance
This paper describes a system combining model-based and learning-based methods for automated reasoning in large theories, i.e. on a large number of problems that use many axioms, l...
Geoff Sutcliffe, Jirí Vyskocil, Josef Urban...
ICML
2007
IEEE
14 years 6 months ago
A transductive framework of distance metric learning by spectral dimensionality reduction
Distance metric learning and nonlinear dimensionality reduction are two interesting and active topics in recent years. However, the connection between them is not thoroughly studi...
Fuxin Li, Jian Yang, Jue Wang
IGPL
2007
107views more  IGPL 2007»
13 years 6 months ago
Equal Rights for the Cut: Computable Non-analytic Cuts in Cut-based Proofs
This work studies the structure of proofs containing non-analytic cuts in the cut-based system, a sequent inference system in which the cut rule is not eliminable and the only bra...
Marcelo Finger, Dov M. Gabbay
ICML
2004
IEEE
14 years 6 months ago
Learning with non-positive kernels
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...
Alexander J. Smola, Cheng Soon Ong, Stéphan...