منابع مشابه
Integrative Windowing
In this paper we re-investigate windowing for rule learning algorithms. We show that, contrary to previous results for decision tree learning, windowing can in fact achieve signii-cant run-time gains in noise-free domains and explain the diierent behavior of rule learning algorithms by the fact that they learn each rule independently. The main contribution of this paper is integrative windowing...
متن کاملIntegrative Windowing
In this paper we re-investigate windowing for rule learning algorithms. We show that, contrary to previous results for decision tree learning, windowing can in fact achieve signii-cant run-time gains in noise-free domains and explain the diierent behavior of rule learning algorithms by the fact that they learn each rule independently. The main contribution of this paper is integrative windowing...
متن کاملMore Efficient Windowing
Windowing has been proposed as a procedure for efficient memory use in the ID3 decision tree learning algorithm. However, previous work has shown that windowing may often lead to a decrease in performance. In this work, we try to argue that rule learning algorithms are more appropriate for windowing than decision tree algorithms, because the former typically learn and evaluate rules independent...
متن کاملApodization and Windowing Eigenfunctions
0885–3010/$25.00 © 2014 IEEE Abstract—Across a range of spectral estimation problems and beam focusing problems, it is necessary to constrain the properties of a function and its Fourier transform. In many cases, compact functions in both domains are desired, within the theoretical bounds of the uncertainty principle. Recently, a hyperbolic sine function of modified argument and power was found...
متن کاملNoise-Tolerant Windowing
Windowing has been proposed as a procedure for efficient memory use in the ID3 decision tree learning algorithm. However, it was shown that it may often lead to a decrease in performance, in particular in noisy domains. Following up on previous work, where we have demonstrated that the ability of rule learning algorithms to learn rules independently can be exploited for more efficient windowing...
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 1998
ISSN: 1076-9757
DOI: 10.1613/jair.487