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SSPR
2004
Springer
15 years 9 months ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
15 years 2 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
Han Qin, Dejing Dou, Yue Fang
ICDAR
2011
IEEE
14 years 3 months ago
Co-training for Handwritten Word Recognition
—To cope with the tremendous variations of writing styles encountered between different individuals, unconstrained automatic handwriting recognition systems need to be trained on...
Volkmar Frinken, Andreas Fischer, Horst Bunke, Ali...
IJCNN
2007
IEEE
15 years 10 months ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
224
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OOIS
2001
Springer
15 years 8 months ago
Analysis of Software Engineering Data Using Computational Intelligence Techniques
The accurate estimation of software development effort has major implications for the management of software development in the industry. Underestimates lead to time pressures tha...
Gabriel Jarillo, Giancarlo Succi, Witold Pedrycz, ...