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FUZZIEEE
2007
IEEE
16 years 1 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
GLOBECOM
2007
IEEE
16 years 1 months ago
A TDMA-based Scheduling and Routing Algorithm for Data-Centric Wireless Sensor Networks
—Recharging the batteries of a moribund sensor deployed as part of a wireless sensor network is often infeasible due to logistical considerations. With the purpose of prolonging ...
Yean-Fu Wen, Frank Yeong-Sung Lin, Hung-Shi Wang
ACSC
2005
IEEE
16 years 1 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
BIBE
2007
IEEE
120views Bioinformatics» more  BIBE 2007»
15 years 11 months ago
Quality Assessment of Affymetrix GeneChip Data using the EM Algorithm and a Naive Bayes Classifier
Recent research has demonstrated the utility of using supervised classification systems for automatic identification of low quality microarray data. However, this approach requires...
Brian E. Howard, Beate Sick, Imara Perera, Yang Ju...
NIPS
2004
15 years 9 months ago
The Variational Ising Classifier (VIC) Algorithm for Coherently Contaminated Data
There has been substantial progress in the past decade in the development of object classifiers for images, for example of faces, humans and vehicles. Here we address the problem ...
Oliver M. C. Williams, Andrew Blake, Roberto Cipol...