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GRC
2010
IEEE
13 years 6 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
FUZZIEEE
2007
IEEE
13 years 11 months ago
Using Orders of Magnitude and Nominal Variables to Construct Fuzzy Partitions
— The application of Qualitative Reasoning to Learning Algorithms can provide these models with the capability of automate common-sense and expert reasoning. Learning algorithms ...
Cati Olmo, Germán Sánchez, Francesc ...
PKC
2004
Springer
146views Cryptology» more  PKC 2004»
13 years 10 months ago
Constructing Committed Signatures from Strong-RSA Assumption in the Standard Complexity Model
Abstract. In this paper, we provide the first committed signature provably secure in the standard complexity model based on the strong RSA assumption. The idea behind the construc...
Huafei Zhu
ICANN
2001
Springer
13 years 9 months ago
Independent Variable Group Analysis
Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
Krista Lagus, Esa Alhoniemi, Harri Valpola
CVPR
2007
IEEE
14 years 7 months ago
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...