175 search results - page 23 / 35 » Learning Continuous Time Bayesian Networks |
NN
2000
Springer
13 years 7 months ago
2000
Springer
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
RECOMB
2003
Springer
14 years 8 months ago
2003
Springer
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
ICCV
2009
IEEE
15 years 21 days ago
2009
IEEE
This paper addresses the problem of fully automated
mining of public space video data. A novel Markov Clustering
Topic Model (MCTM) is introduced which builds on
existing Dynami...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
ESANN
2007
13 years 9 months ago
2007
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...