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» A Feature-Based Learning Method for Theorem Proving
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AAAI
1998
13 years 6 months ago
A Feature-Based Learning Method for Theorem Proving
Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
Matthias Fuchs
IJCAI
1997
13 years 6 months ago
High Performance ATP Systems by Combining Several AI Methods
We present a design for an automated theorem prover that controls its search based on ideas from several areas of artificial intelligence (AI). The combination of case-based reaso...
Jörg Denzinger, Marc Fuchs, Matthias Fuchs
CORR
2008
Springer
99views Education» more  CORR 2008»
13 years 5 months ago
When is there a representer theorem? Vector versus matrix regularizers
We consider a general class of regularization methods which learn a vector of parameters on the basis of linear measurements. It is well known that if the regularizer is a nondecr...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
SIAMJO
2008
104views more  SIAMJO 2008»
13 years 4 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
ECAI
2004
Springer
13 years 8 months ago
Lakatos-Style Automated Theorem Modification
We describe a flexible approach to automated reasoning, where non-theorems can be automatically altered to produce proved results which are related to the original. This is achieve...
Simon Colton, Alison Pease