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» Measuring the Complexity of Classification Problems
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ESANN
2006
13 years 9 months ago
Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
Tong Boon Tang, Alan F. Murray
ISCAS
2002
IEEE
93views Hardware» more  ISCAS 2002»
14 years 16 days ago
Time-frequency analysis in power measurement using complex wavelets
The problem of a useful electrical power quantification in environments with power quality problems is discussed. As it is difficult to correctly apply a Fourier-based approach, a...
Johan Driesen, Ronnie Belmans
FUZZIEEE
2007
IEEE
14 years 1 months ago
Nonlinear Classification by Genetic Algorithm with Signed Fuzzy Measure
—In this paper, we propose a new nonlinear classier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification power by capturing all possib...
Honggang Wang, Hua Fang, Hamid Sharif, Zhenyuan Wa...
INFORMS
2010
177views more  INFORMS 2010»
13 years 6 months ago
Binarized Support Vector Machines
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
BMCBI
2008
121views more  BMCBI 2008»
13 years 7 months ago
Modularization of biochemical networks based on classification of Petri net t-invariants
Background: Structural analysis of biochemical networks is a growing field in bioinformatics and systems biology. The availability of an increasing amount of biological data from ...
Eva Grafahrend-Belau, Falk Schreiber, Monika Heine...