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resources.paperdigest.org | ||
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appliednetsci.springeropen.com
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| | | | | Cultural data analytics aims to use analytic methods to explore cultural expressions-for instance art, literature, dance, music. The common thing between cultural expressions is that they have multiple qualitatively different facets that interact with each other in non trivial and non learnable ways. To support this observation, we use the Italian music record industry from 1902 to 2024 as a case study. In this scenario, a possible research objective could be to discuss the relationships between different music genres as they are performed by different bands. Estimating genre similarity by counting the number of records each band published performing a given genre is not enough, because it assumes bands operate independently from each other. In reality, band... | |
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paperswithcode.com
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| | | | | Your daily dose of AI research from AK | |
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blog.reachsumit.com
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| | | | | Welcome to Sumit Kumar's Personal Blog! | |
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francisbach.com
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| | | [AI summary] This text discusses the scaling laws of optimization in machine learning, focusing on asymptotic expansions for both strongly convex and non-strongly convex cases. It covers the derivation of performance bounds using techniques like Laplace's method and the behavior of random minimizers. The text also explains the 'weird' behavior observed in certain plots, where non-strongly convex bounds become tight under specific conditions. The analysis connects theoretical results to practical considerations in optimization algorithms. | ||
