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» Fuzzy models for prediction based on random set semantics
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BMCBI
2007
160views more  BMCBI 2007»
14 years 9 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...
ANOR
2008
123views more  ANOR 2008»
14 years 9 months ago
An approach to predictive-reactive scheduling of parallel machines subject to disruptions
: In this paper, a new predictive-reactive approach to a parallel machine scheduling problem in the presence of uncertain disruptions is presented. The approach developed is based ...
Alejandra Duenas, Dobrila Petrovic
NIPS
2003
14 years 11 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
RECOMB
2005
Springer
15 years 10 months ago
Segmentation Conditional Random Fields (SCRFs): A New Approach for Protein Fold Recognition
Abstract. Protein fold recognition is an important step towards understanding protein three-dimensional structures and their functions. A conditional graphical model, i.e. segmenta...
Yan Liu, Jaime G. Carbonell, Peter Weigele, Vanath...
CORR
2011
Springer
151views Education» more  CORR 2011»
14 years 1 months ago
A New Representation Theorem for Many-valued Modal Logics
We propose a new definition of the representation theorem for many-valued logics, with modal operators as well, and define the stronger relationship between algebraic models of ...
Zoran Majkic