MLC++: a machine learning library in C++ (1994)
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| Venue: | IN TOOLS WITH ARTIFICIAL INTELLIGENCE |
| Citations: | 91 - 8 self |
BibTeX
@INPROCEEDINGS{Kohavi94mlc++:a,
author = {Ron Kohavi and George John and Richard Long and David Manley and Karl Pfleger},
title = {MLC++: a machine learning library in C++},
booktitle = {IN TOOLS WITH ARTIFICIAL INTELLIGENCE},
year = {1994},
pages = {740--743},
publisher = {IEEE Computer Society Press}
}
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Abstract
We present MLC++, a library of C++ classes and tools for supervised Machine Learning. While MLC++ provides general learning algorithms that can be used by end users, the main objective is to provide researchers and experts with a wide variety of tools that can accelerate algorithm development, increase software reliability, provide comparison tools, and display information visually. More than just a collection of existing algorithms, MLC++ is an attempt to extract commonalities of algorithms and decompose them for a unified view that is simple, coherent, and extensible. In this paper we discuss the problems MLC++ aims to solve, the design of MLC++, and the current functionality.
