Adaptive pen user interface with supervised competitive learning

  • Takayuki Dan Kimura
Session 12: Miscellaneous Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1311)

Abstract

An Adaptive user interface for a pen-based educational application and the related technical difficulties are discussed The Supervised Competitive Learning (SCL) model is proposed as a mechanism for a pen-based adaptive user interface. It offers a solution for one of the fundamental problems of using neural for adaptive user interface; the Grossberg's stability-plasticity dilemma.

Keywords

Input Pattern Handwriting Recognition Adaptive Resonance Theory Adaptive User Interface Prototype Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Carpenter, G. A. and S. Grossberg. “ART2: Self-Organizing of Stable Category Recognition Codes for Analog Input Patterns,” Applied Optics (1987) pp. 4919–4930.Google Scholar
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    Carpenter, G. A. and S. Grossberg. “The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network,” IEEE Computer 21:3 (1988), pp. 77–88.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Takayuki Dan Kimura
    • 1
  1. 1.Laboratory for Pen-Based Silicon Paper Technology (PenLab) Department of Computer ScienceWashington University in St. LouisSt. LouisUSA

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