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DAGSTUHL
2007
13 years 11 months ago
An Inner/Outer Stationary Iteration for Computing PageRank
We present a stationary iterative scheme for PageRank computation. The algorithm is based on a linear system formulation of the problem, uses inner/outer iterations, and amounts to...
Andrew P. Gray, Chen Greif, Tracy Lau
LICS
2006
IEEE
14 years 4 months ago
On the Expressiveness of Linearity vs Persistence in the Asychronous Pi-Calculus
We present an expressiveness study of linearity and persistence of processes. We choose the π-calculus, one of the main representatives of process calculi, as a framework to cond...
Catuscia Palamidessi, Vijay A. Saraswat, Frank D. ...
NPL
2002
168views more  NPL 2002»
13 years 9 months ago
Reduced Rank Kernel Ridge Regression
Ridge regression is a classical statistical technique that attempts to address the bias-variance trade-off in the design of linear regression models. A reformulation of ridge regr...
Gavin C. Cawley, Nicola L. C. Talbot
ICML
2007
IEEE
14 years 11 months ago
Winnowing subspaces
We generalize the Winnow algorithm for learning disjunctions to learning subspaces of low rank. Subspaces are represented by symmetric projection matrices. The online algorithm ma...
Manfred K. Warmuth
SPEECH
1998
171views more  SPEECH 1998»
13 years 9 months ago
Heteroscedastic discriminant analysis and reduced rank HMMs for improved speech recognition
We present the theory for heteroscedastic discriminant analysis (HDA), a model-based generalization of linear discriminant analysis (LDA) derived in the maximum-likelihood framewo...
Nagendra Kumar, Andreas G. Andreou