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» Making inferences with small numbers of training sets
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ESANN
2003
13 years 9 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
BMCBI
2010
208views more  BMCBI 2010»
13 years 7 months ago
Calculation of accurate small angle X-ray scattering curves from coarse-grained protein models
Background: Genome sequencing projects have expanded the gap between the amount of known protein sequences and structures. The limitations of current high resolution structure det...
Kasper Stovgaard, Christian Andreetta, Jesper Ferk...
JMLR
2008
133views more  JMLR 2008»
13 years 7 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan
CVPR
2010
IEEE
14 years 3 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo
NETWORKING
2010
13 years 9 months ago
A Longitudinal Study of Small-Time Scaling Behavior of Internet Traffic
We carry out a longitudinal study of evolution of small-time scaling behavior of Internet traffic on the MAWI dataset spanning 8 years. MAWI dataset contains a number of anomalies ...
Himanshu Gupta, Vinay J. Ribeiro, Anirban Mahanti