Quantile-Quantile Embedding for distribution transformation and manifold embedding with ability to choose the embedding distribution
نویسندگان
چکیده
منابع مشابه
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Nonlinear dimensionality reduction by manifold embedding has become a popular and powerful approach both for visualization and as preprocessing for predictive tasks, but more efficient optimization algorithms are still crucially needed. MajorizationMinimization (MM) is a promising approach that monotonically decreases the cost function, but it remains unknown how to tightly majorize the manifol...
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ژورنال
عنوان ژورنال: Machine Learning with Applications
سال: 2021
ISSN: 2666-8270
DOI: 10.1016/j.mlwa.2021.100088