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JMLR
2010
112views more  JMLR 2010»
13 years 2 months ago
Sparse Spectrum Gaussian Process Regression
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...
Miguel Lázaro-Gredilla, Joaquin Quiñ...
COLT
2003
Springer
14 years 18 days ago
Learning All Subfunctions of a Function
Sublearning, a model for learning of subconcepts of a concept, is presented. Sublearning a class of total recursive functions informally means to learn all functions from that cla...
Sanjay Jain, Efim B. Kinber, Rolf Wiehagen
WWW
2005
ACM
14 years 8 months ago
PageRank as a function of the damping factor
PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor that spreads...
Paolo Boldi, Massimo Santini, Sebastiano Vigna
IEE
2008
115views more  IEE 2008»
13 years 7 months ago
Faithful mapping of model classes to mathematical structures
ion techniques are indispensable for the specification and verification of functional behavior of programs. In object-oriented ation languages like JML, a powerful abstraction tec...
Ádám Darvas, Peter Müller
ICPR
2002
IEEE
14 years 8 months ago
To Each According to its Need: Kernel Class Specific Classifiers
We present in this paper a new multi-class Bayes classifier that permits using separate feature vectors, chosen specifically for each class. This technique extends previous work o...
Barbara Caputo, Heinrich Niemann