کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
412894 679688 2010 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A hidden process regression model for functional data description. Application to curve discrimination
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A hidden process regression model for functional data description. Application to curve discrimination
چکیده انگلیسی

A new approach for functional data description is proposed in this paper. It consists of a regression model with a discrete hidden logistic process which is adapted for modeling curves with abrupt or smooth regime changes. The model parameters are estimated in a maximum likelihood framework through a dedicated expectation maximization (EM) algorithm. From the proposed generative model, a curve discrimination rule is derived using the maximum a posteriori rule. The proposed model is evaluated using simulated curves and real world curves acquired during railway switch operations, by performing comparisons with the piecewise regression approach in terms of curve modeling and classification.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 7–9, March 2010, Pages 1210–1221
نویسندگان
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