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» Belief Functions and Cluster Ensembles
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ECSQARU
2003
Springer
14 years 18 days ago
Computational-Workload Based Binarization and Partition of Qualitative Markov Trees for Belief Combination
Abstract. Binary join trees have been a popular structure to compute the impact of multiple belief functions initially assigned to nodes of trees or networks. Shenoy has proposed t...
Weiru Liu, Xin Hong, Kenneth Adamson
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
13 years 8 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 15 days ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
UAI
1990
13 years 8 months ago
Ideal reformulation of belief networks
The intelligent reformulation or restructuring of a belief network can greatly increase the efficiency of inference. However, time expended for reformulation is not available for ...
Jack S. Breese, Eric Horvitz
BMCBI
2010
153views more  BMCBI 2010»
13 years 7 months ago
Analysis of substructural variation in families of enzymatic proteins with applications to protein function prediction
Background: Structural variations caused by a wide range of physico-chemical and biological sources directly influence the function of a protein. For enzymatic proteins, the struc...
Drew H. Bryant, Mark Moll, Brian Y. Chen, Viachesl...