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111
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FUZZIEEE
2007
IEEE
15 years 10 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
148
Voted
ACSC
2005
IEEE
15 years 9 months ago
Integer Programming Models and Algorithms for Molecular Classification of Cancer from Microarray Data
Novel, high-throughput technologies are challenging the core of algorithmic methods available in Computer Science. Microarray technologies give Life Sciences researchers the oppor...
Regina Berretta, Alexandre Mendes, Pablo Moscato
112
Voted
ICCS
2003
Springer
15 years 9 months ago
A Method of Hidden Markov Model Optimization for Use with Geophysical Data Sets
Geophysics research has been faced with a growing need for automated techniques with which to process large quantities of data. A successful tool must meet a number of requirements...
Robert A. Granat
125
Voted
BILDMED
2007
135views Algorithms» more  BILDMED 2007»
15 years 5 months ago
A New Class of Distance Measures for Registration of Tubular Models to Image Data
In some registration applications additional user knowledge is available, which can improve and accelerate the registration process, especially for non-rigid registration. This is ...
Thomas Lange, Hans Lamecker, Michael Hünerbei...
215
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ISTA
2007
15 years 5 months ago
Analytical data modeling of investment project financing process
: The present work is devoted to the research of investment projects’ financing issues. Within this paper a data analytical tool for an optimal financing schema computation on th...
Mikhail D. Godlevskiy, Valentina V. Moskalenko, Vl...