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IPPS
2003
IEEE
14 years 3 months ago
An Object Oriented Framework for an Associative Model of Parallel Computation
An object oriented description and framework of the Multiple ASsociative Computing (MASC) model of parallel computation is presented. This description identifies MASC objects and ...
Michael Scherger, Jerry L. Potter, Johnnie W. Bake...
ACL
2006
13 years 11 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
MASCOTS
2003
13 years 11 months ago
Derivation of Passage-time Densities in PEPA Models using ipc: the Imperial PEPA Compiler
We present a technique for defining and extracting passage-time densities from high-level stochastic process algebra models. Our high-level formalism is PEPA, a popular Markovian...
Jeremy T. Bradley, Nicholas J. Dingle, Stephen T. ...
BILDMED
2009
251views Algorithms» more  BILDMED 2009»
13 years 11 months ago
Probabilistic Tracking and Model-Based Segmentation of 3D Tubular Structures
Abstract. We introduce a new approach for tracking-based segmentation of 3D tubular structures. The approach is based on a novel combination of a 3D cylindrical intensity model and...
Stefan Wörz, William J. Godinez, Karl Rohr
CSDA
2007
134views more  CSDA 2007»
13 years 10 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington