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» A Discourse on Complexity of Process Models
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AIPS
2008
15 years 5 months ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
JCB
2007
191views more  JCB 2007»
15 years 3 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
SMI
2008
IEEE
118views Image Analysis» more  SMI 2008»
15 years 9 months ago
A least-norm approach to flattenable mesh surface processing
Following the definition of developable surface in differential geometry, the flattenable mesh surface, a special type of piecewiselinear surface, inherits the good property of ...
Charlie C. L. Wang
BMCBI
2007
160views more  BMCBI 2007»
15 years 3 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
IUI
2009
ACM
16 years 4 days ago
Learning to generalize for complex selection tasks
Selection tasks are common in modern computer interfaces: we are often required to select a set of files, emails, data entries, and the like. File and data browsers have sorting a...
Alan Ritter, Sumit Basu