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      Neural signatures of natural behaviour in socializing macaques

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          LIBSVM: A library for support vector machines

          LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.
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            A Survey on Transfer Learning

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              UMAP: Uniform Manifold Approximation and Projection

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                Author and article information

                Contributors
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                Journal
                Nature
                Nature
                Springer Science and Business Media LLC
                0028-0836
                1476-4687
                March 13 2024
                Article
                10.1038/s41586-024-07178-6
                38480888
                86c7e343-0eb3-4b52-a9e3-494982162402
                © 2024

                https://www.springernature.com/gp/researchers/text-and-data-mining

                https://www.springernature.com/gp/researchers/text-and-data-mining

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