Sciweavers

686 search results - page 9 / 138
» Bayesian Analysis of Linear Combiners
Sort
View
CSDA
2008
128views more  CSDA 2008»
14 years 9 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
83
Voted
ICA
2004
Springer
15 years 3 months ago
Post-nonlinear Independent Component Analysis by Variational Bayesian Learning
Post-nonlinear (PNL) independent component analysis (ICA) is a generalisation of ICA where the observations are assumed to have been generated from independent sources by linear mi...
Alexander Ilin, Antti Honkela
85
Voted
WWW
2009
ACM
15 years 4 months ago
Reliability analysis using weighted combinational models for web-based software
In the past, some researches suggested that engineers can use combined software reliability growth models (SRGMs) to obtain more accurate reliability prediction during testing. In...
Chao-Jung Hsu, Chin-Yu Huang
DATE
2007
IEEE
110views Hardware» more  DATE 2007»
15 years 4 months ago
Nonlinearity analysis of Analog/RF circuits using combined multisine and volterra analysis
Abstract— Modern integrated radio systems require highly linear analog/RF circuits. Two-tone simulations are commonly used to study a circuit’s nonlinear behavior. Very often, ...
Jonathan Borremans, Ludwig De Locht, Piet Wambacq,...
NIPS
2004
14 years 11 months ago
Unsupervised Variational Bayesian Learning of Nonlinear Models
In this paper we present a framework for using multi-layer perceptron (MLP) networks in nonlinear generative models trained by variational Bayesian learning. The nonlinearity is h...
Antti Honkela, Harri Valpola