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» Clarifying Goal Models
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UAI
2003
15 years 8 months ago
Bayesian Hierarchical Mixtures of Experts
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...
Christopher M. Bishop, Markus Svensén
SIMVIS
2003
15 years 8 months ago
An Experimental Study of the Behaviour of the Proxel-Based Simulation Algorithm
The paradigm of the proxel ("probability element") was recently introduced in order to provide a new algorithmic approach to analysing discrete-state stochastic models s...
Sanja Lazarova-Molnar, Graham Horton
TMM
2010
135views Management» more  TMM 2010»
15 years 1 months ago
Image Classification With Kernelized Spatial-Context
Abstract--The goal of image classification is to classify a collection of unlabeled images into a set of semantic classes. Many methods have been proposed to approach this goal by ...
Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang,...
AAAI
2011
14 years 6 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
WSC
1997
15 years 8 months ago
Success Stories in Simulation in Health Care
Healthcare is a rapidly changing industry, and facilities are struggling to find tools to enhance their ability to keep up with the change. Healthcare staff have generally adapted...
Catherine Drury Barnes, Joaquin L. Quiason, Carson...