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» Memetic Algorithms for Feature Selection on Microarray Data
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CVPR
2007
IEEE
14 years 10 months ago
Combining Static Classifiers and Class Syntax Models for Logical Entity Recognition in Scanned Historical Documents
Class syntax can be used to 1) model temporal or locational evolvement of class labels of feature observation sequences, 2) correct classification errors of static classifiers if ...
Song Mao, Praveer Mansukhani, George R. Thoma
KES
2007
Springer
13 years 8 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...
SIGGRAPH
1999
ACM
14 years 1 months ago
Implicit Fairing of Irregular Meshes Using Diffusion and Curvature Flow
In this paper, we develop methods to rapidly remove rough features from irregularly triangulated data intended to portray a smooth surface. The main task is to remove undesirable ...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...
JMLR
2002
89views more  JMLR 2002»
13 years 8 months ago
The Set Covering Machine
We extend the classical algorithms of Valiant and Haussler for learning compact conjunctions and disjunctions of Boolean attributes to allow features that are constructed from the...
Mario Marchand, John Shawe-Taylor
IHI
2012
287views Healthcare» more  IHI 2012»
12 years 4 months ago
MARHS: mobility assessment system with remote healthcare functionality for movement disorders
Due to the global trend of aging societies with increasing demand for low cost and high quality healthcare services, there has been extensive research and development directed tow...
Sunghoon Ivan Lee, Jonathan Woodbridge, Ani Nahape...