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» Computational Properties of Probabilistic Neural Networks
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CEC
2009
IEEE
13 years 11 months ago
JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator
This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
Olivier Brousse, Jérémie Guillot, Th...
EUSFLAT
2009
141views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
An Experimental Study on the Interpretability of Fuzzy Systems
Abstract-- Interpretability is one of the most significant properties of Fuzzy Systems which are widely acknowledged as gray boxes against other Soft Computing techniques such as N...
José M. Alonso, Luis Magdalena
ANOR
2010
130views more  ANOR 2010»
13 years 5 months ago
Greedy scheduling with custom-made objectives
We present a methodology to automatically generate an online job scheduling method for a custom-made objective and real workloads. The scheduling problem comprises independent para...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
BMCBI
2007
146views more  BMCBI 2007»
13 years 7 months ago
Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
Xiangdong Liu, Walter J. Jessen, Siva Sivaganesan,...