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» Incorporating prior knowledge in fuzzy model identification
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BIOSYSTEMS
2007
115views more  BIOSYSTEMS 2007»
13 years 7 months ago
Evolving fuzzy rules to model gene expression
This paper develops an algorithm that extracts explanatory rules from microarray data, which we treat as time series, using genetic programming (GP) and fuzzy logic. Reverse polis...
Ricardo Linden, Amit Bhaya
BMCBI
2006
116views more  BMCBI 2006»
13 years 7 months ago
Optimized mixed Markov models for motif identification
Background: Identifying functional elements, such as transcriptional factor binding sites, is a fundamental step in reconstructing gene regulatory networks and remains a challengi...
Weichun Huang, David M. Umbach, Uwe Ohler, Leping ...
VIP
2000
13 years 8 months ago
A Fuzzy Rule-Based Interactive Methodology for Training Multimedia Actors
Computer animation has come a long way during the last decade and is now capable of producing near-realistic rendered 3D computer graphics models of expressive, talking, acting hu...
Savant Karunaratne, Hong Yan
KES
2008
Springer
13 years 7 months ago
Super Resolution of Multispectral Images Using TV Image Models
Abstract. In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formu...
Miguel Vega, Javier Mateos, Rafael Molina, Aggelos...
FSKD
2007
Springer
128views Fuzzy Logic» more  FSKD 2007»
13 years 11 months ago
A First Step towards an Epistemology of the Subjective Uncertainty: Its Premises and Modeling
The uncertainty may be divides it into two major groups, "objective uncertainty" and "subjective uncertainty". The objective uncertainty has already been exten...
Fabio Campos, Andre Neves, R. Souza