Abstract
Con ST rainer is a window-based toolkit dedicated to the task of collecting and validating datasets for training connectionist networks. Unlike other connectionist development tools, Con ST rainer is an application- and network-independent tool which can be configured to suit the requirements of a variety of applications through a simple-to-use configuration facility The facility allows the user to create and modify both domain/ranges and domain/range parameters alike. For each parameter in the training exemplar Con ST rainer supports the definition of mutually supportive and mutually exclusive parameter sets. A powerful set of consistency and validation checks is also supported, including vector orthogonality, weightsum checking, and re-ordering of the training dataset. This paper introduces the Con ST rainer toolkit and discusses its utilization in a non-trivial application for diagnostic decision support in Histopathology.
This research is 50% funded by the European Communities Research Programme AIM under contract number A1027 entitled “BIOLAB: The development of an Integrated BIOmedical LABoratory”.
The Con ST rainer software is implemented in C and X-windows version 11 release 3 and is available for public distribution through the BIOLAB consortium. Some of the optimizations mentioned in this paper as well as others are under continuous development; these are yet to be released.
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© 1990 Springer-Verlag Berlin Heidelberg
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Refenes, A.N. (1990). ConSTrainer: A Generic Toolkit for Connectionist Dataset Selection. In: Dorffner, G. (eds) Konnektionismus in Artificial Intelligence und Kognitionsforschung. Informatik-Fachberichte, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76070-9_17
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DOI: https://doi.org/10.1007/978-3-642-76070-9_17
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