405 search results - page 45 / 81 » Bayesian Gaussian Process Latent Variable Model |
135
Voted
ICRA
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
149
Voted
UAI
2003
15 years 4 months ago
2003
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
135
click to vote
UAI
2001
15 years 4 months ago
2001
Many real life domains contain a mixture of discrete and continuous variables and can be modeled as hybrid Bayesian Networks (BNs). An important subclass of hybrid BNs are conditi...
168
Voted
EMNLP
2010
15 years 19 days ago
2010
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...
125
Voted
JMLR
2010
14 years 9 months ago
2010
We propose Dirichlet Process mixtures of Generalized Linear Models (DP-GLMs), a new method of nonparametric regression that accommodates continuous and categorical inputs, models ...