265 search results - page 42 / 53 » A Scheme for Approximating Probabilistic Inference |
UAI
2003
13 years 10 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...
CIDR
2009
13 years 9 months ago
2009
We present the design and development of a data stream system that captures data uncertainty from data collection to query processing to final result generation. Our system focuse...
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
NECO
2008
13 years 8 months ago
2008
Deep Belief Networks (DBN) are generative neural network models with many layers of hidden explanatory factors, recently introduced by Hinton et al., along with a greedy layer-wis...
ML
2002
ACM
13 years 8 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...