Sciweavers

1748 search results - page 127 / 350
» Acceleration of the EM algorithm
Sort
View
NIPS
2004
15 years 4 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
ACL
1997
15 years 4 months ago
Document Classification Using a Finite Mixture Model
We propose a new method of classifying documents into categories. We define for each category a finite mixture model based on soft clustering of words. We treat the problem of cla...
Hang Li, Kenji Yamanishi
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 4 months ago
Ultra high frequency financial data
This note is best described as a ‘Research Challenge’, and concerns building an ultra high frequency (UHF) trading system. The emphasis is on addressing the problems posed by ...
Martin Victor Sewell, Wei Yan
CSDA
2007
137views more  CSDA 2007»
15 years 3 months ago
Fitting finite mixtures of generalized linear regressions in R
R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested var...
Bettina Grün, Friedrich Leisch
TIT
2002
62views more  TIT 2002»
15 years 2 months ago
Maximum-likelihood binary shift-register synthesis from noisy observations
We consider the problem of estimating the feedback coefficients of a linear feedback shift register (LFSR) based on noisy observations. In the current approach, the coefficients a...
Todd K. Moon