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» Algorithmic Randomness of Closed Sets
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ESANN
2006
15 years 1 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
106
Voted
CORR
2008
Springer
158views Education» more  CORR 2008»
15 years 15 days ago
Declarative Combinatorics: Isomorphisms, Hylomorphisms and Hereditarily Finite Data Types in Haskell
This paper is an exploration in a functional programming framework of isomorphisms between elementary data types (natural numbers, sets, finite functions, permutations binary deci...
Paul Tarau
89
Voted
TSP
2008
101views more  TSP 2008»
15 years 9 days ago
Bayesian Compressive Sensing
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...
Shihao Ji, Ya Xue, Lawrence Carin
104
Voted
QRE
2008
140views more  QRE 2008»
14 years 12 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
105
Voted
CORR
2011
Springer
161views Education» more  CORR 2011»
14 years 7 months ago
On Parsimonious Explanations for 2-D Tree- and Linearly-Ordered Data
This paper studies the “explanation problem” for tree- and linearly-ordered array data, a problem motivated by database applications and recently solved for the one-dimensiona...
Howard J. Karloff, Flip Korn, Konstantin Makaryche...