Conservative and aggressive rough SVR modeling

DOI10.1016/j.tcs.2011.05.042zbMath1223.68096OpenAlexW2022206191MaRDI QIDQ642533

Cory J. Butz, Pawan Lingras

Publication date: 27 October 2011

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2011.05.042

zbMATH Keywords

predictionrough setstime-seriessupport vector regressionaggressive modelingconservative modelingrough patternsstock market index

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzziness, and linear inference and regression (62J86)

Related Items (1)

A two-step method for interpolating interval data based on cubic Hermite polynomial models

Uses Software

• LIBSVM
• MoVisPP

Cites Work

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• Support vector fuzzy regression machines
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• Rough mereology: A new paradigm for approximate reasoning
• Fuzzy-rough and rough-fuzzy serial combinations in neurocomputing
• Extended support vector interval regression networks for interval input-output data
• Support vector interval regression machine for crisp input and output data
• Rough support vector clustering

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