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I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. I ...

Abstract: Traditional feature selection algorithms based on information theory often exhibit inherent limitations in directly addressing numerical features. To overcome this challenge, fuzzy mutual ...

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Abstract: The feature selection problem involves selecting a subset of relevant features to enhance the performance of machine learning models, crucial for achieving model accuracy. Its complexity ...

Notably, this report is in line with one of our earlier reports from back in October and was based on a leak from known analyst Jeff Pu. Now, the latest information arrives from leaked iOS 18 codes ...

ABSTRACT: In a competitive digital age where data volumes are increasing with time, the ability to extract meaningful knowledge from high-dimensional data using machine learning (ML) and data mining ...

An efficient wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB , and the related article: "Set-based integer-coded fuzzy granular evolutionary algorithms for high-dimensional feature ...