Abstract: Given a data set and a number of supervised learning algorithms, we would like to find the algorithm with the smallest expected error.
Jan 13, 2006 · We define the problem in graph-theoretic terms and propose an algorithm to find the “best” learning algorithm in terms of these two criteria, or ...
We propose a methodology, the MultiTest algorithm, whereby we order supervised learning algorithms taking into account 1) the result of pairwise statistical ...
Ordering and finding the best of K > 2 supervised learning algorithms
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We propose a methodology, the MultiTest algorithm, whereby we order supervised learning algorithms taking into account 1) the result of pairwise statistical ...
We propose Multi2Test, a generalization of our previous work, for ordering multiple learning algorithms on multiple data sets from “best” to “worst” where our ...
Bibliographic details on Ordering and Finding the Best of K > 2 Supervised Learning Algorithms.
It tells us that using a rectangle as our hypothesis class, we can learn only datasets containing four points and not more. A learning algorithm that can learn ...
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Oct 3, 2014 · Supervised means getting the information from labeled datasets and unsupervised means clustering the data without any labels given.
Oct 8, 2023 · Selecting the right machine learning algorithm for a real-world problem involves understanding the problem, the data, and the algorithm's strengths and ...
Oct 11, 2023 · In this post, we will take a tour of the most popular machine learning algorithms. It is useful to tour the main algorithms in the field to get a feeling of ...