Sciweavers

454 search results - page 19 / 91
» Bayesian learning of measurement and structural models
Sort
View
JMLR
2010
107views more  JMLR 2010»
13 years 3 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
DKE
2007
95views more  DKE 2007»
13 years 9 months ago
Strategies for improving the modeling and interpretability of Bayesian networks
One of the main factors for the knowledge discovery success is related to the comprehensibility of the patterns discovered by applying data mining techniques. Amongst which we can...
Ádamo L. de Santana, Carlos Renato Lisboa F...
JMLR
2010
143views more  JMLR 2010»
13 years 3 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
NN
2002
Springer
136views Neural Networks» more  NN 2002»
13 years 8 months ago
Bayesian model search for mixture models based on optimizing variational bounds
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Zoubin Ghahramani
ISWC
2003
IEEE
14 years 2 months ago
Sensing and Modeling Human Networks using the Sociometer
Knowledge of how people interact is important in many disciplines, e.g. organizational behavior, social network analysis, information diffusion and knowledge management applicatio...
Tanzeem Choudhury, Alex Pentland