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ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
ICML
2008
IEEE
14 years 8 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
RECOMB
2002
Springer
14 years 8 months ago
From promoter sequence to expression: a probabilistic framework
We present a probabilistic framework that models the process by which transcriptional binding explains the mRNA expression of different genes. Our joint probabilistic model unifie...
Eran Segal, Yoseph Barash, Itamar Simon, Nir Fried...
ICWS
2004
IEEE
13 years 9 months ago
Net Traveler: A Framework for Autonomic Web Services Collaboration, Orchestration and Choreography in E-Government Information S
Next-generation Government Information Systems will integrate large amounts of heterogeneous data sources located on distributed networks like the Internet. We present Net Travele...
Hillary Caituiro-Monge, Manuel Rodriguez-Martinez
DILS
2004
Springer
13 years 11 months ago
An Ontology-Driven Framework for Data Transformation in Scientific Workflows
Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research...
Shawn Bowers, Bertram Ludäscher