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» Inference for Multiplicative Models
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2006
Springer
15 years 3 months ago
Evolutionary Tuning of Combined Multiple Models
Abstract. In data mining, hybrid intelligent systems present a synergistic combination of multiple approaches to develop the next generation of intelligent systems. Our paper prese...
Gregor Stiglic, Peter Kokol
DSD
2007
IEEE
105views Hardware» more  DSD 2007»
15 years 9 months ago
Scaling Analytical Models for Soft Error Rate Estimation Under a Multiple-Fault Environment
With continuing increase in soft error rates, its foreseeable that multiple faults will eventually need to be considered when modeling circuit sensitivity and evaluating faulttole...
Christian J. Hescott, Drew C. Ness, David J. Lilja
AIME
2009
Springer
15 years 9 months ago
Towards the Merging of Multiple Clinical Protocols and Guidelines via Ontology-Driven Modeling
Abstract. Decision support systems based on computerized Clinical Protocols (CP) and Clinical Practice Guidelines (CPG) fall short when dealing with patient co-morbidites, as this ...
Samina Raza Abidi, Syed Sibte Raza Abidi
BMCBI
2006
85views more  BMCBI 2006»
15 years 3 months ago
On single and multiple models of protein families for the detection of remote sequence relationships
Background: The detection of relationships between a protein sequence of unknown function and a sequence whose function has been characterised enables the transfer of functional a...
James A. Casbon, Mansoor A. S. Saqi
LSSC
2007
Springer
15 years 9 months ago
An Ant-Based Model for Multiple Sequence Alignment
Abstract. Multiple sequence alignment is a key process in today’s biology, and finding a relevant alignment of several sequences is much more challenging than just optimizing so...
Frédéric Guinand, Yoann Pigné