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» Supervised dimensionality reduction using mixture models
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167
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BMCBI
2002
195views more  BMCBI 2002»
15 years 3 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 3 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
EDM
2010
148views Data Mining» more  EDM 2010»
15 years 4 months ago
Sentiment Analysis in Student Experiences of Learning
In this paper we present an evaluation of new techniques for automatically detecting sentiment polarity (Positive or Negative) in the students responses to Unit of Study Evaluation...
Sunghwan Mac Kim, Rafael A. Calvo
ICIAP
2003
ACM
16 years 3 months ago
Old fashioned state-of-the-art image classification
In this paper we present a statistical learning scheme for image classification based on a mixture of old fashioned ideas and state of the art learning tools. We represent input i...
Annalisa Barla, Francesca Odone, Alessandro Verri
131
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ICASSP
2010
IEEE
15 years 3 months ago
Particle filter adaptation for distributed sensors via set membership
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
Shahrokh Farahmand, Stergios I. Roumeliotis, Georg...