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NN
2000
Springer
177views Neural Networks» more  NN 2000»
15 years 6 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
SIAMCOMP
2000
97views more  SIAMCOMP 2000»
15 years 6 months ago
Complexity of Some Problems Concerning Varieties and Quasi-Varieties of Algebras
In this paper we consider the complexity of several problems involving finite algebraic structures. Given finite algebras A and B, these problems ask the following. (1) Do A and B ...
Clifford Bergman, Giora Slutzki
ADCM
1998
133views more  ADCM 1998»
15 years 6 months ago
Numerical exploitation of symmetry in integral equations
: Linear integral operators describing physical problems on symmetric domains often are equivariant, which means that they commute with certain symmetries, i.e., with a group of or...
Eugene L. Allgower, Kurt Georg
CORR
1998
Springer
103views Education» more  CORR 1998»
15 years 6 months ago
The descriptive complexity approach to LOGCFL
Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclass...
Clemens Lautemann, Pierre McKenzie, Thomas Schwent...
DATAMINE
1998
145views more  DATAMINE 1998»
15 years 6 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
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