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» On a theory of learning with similarity functions
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APAL
2007
78views more  APAL 2007»
14 years 12 months ago
Partial Horn logic and cartesian categories
A logic is developed in which function symbols are allowed to represent partial functions. It has the usual rules of logic (in the form of a sequent calculus) except that the subs...
Erik Palmgren, Steven J. Vickers
EUSFLAT
2009
144views Fuzzy Logic» more  EUSFLAT 2009»
14 years 9 months ago
Number-free Mathematics Based on T-norm Fuzzy Logic
Abstract--The paper presents a form of rendering classical mathematical notions by formal theories over suitable t-norm fuzzy logics in such a way that references to real numbers a...
Libor Behounek
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 6 days ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
IJCNN
2008
IEEE
15 years 6 months ago
A comparison of architectural varieties in Radial Basis Function Neural Networks
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
Mehmet Önder Efe, Cosku Kasnakoglu
STOC
2003
ACM
122views Algorithms» more  STOC 2003»
16 years 3 days ago
Learning juntas
We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio