It is remarkable that Raman spectra can, with the help of statistical inference, be used to predict cellular physiology and proteome composition. By making this possible, the work of Kamei et al. has ...
Lower-performing countries follow a different pattern. Gains in basic infrastructure, water access, or food availability can raise SDG scores even when education systems, innovation capacity, or ...
Transverse tubules (T-tubules) play a significant role in muscle contraction. However, the underlying mechanism of their ...
Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...
Abstract: Dimensionality reduction (DR) is important for feature extraction and classification of hyperspectral images (HSIs). Recently proposed superpixel-based DR models have shown promising ...
This project is an implementation of Linear Discriminant Analysis (LDA) from scratch in Python. LDA is a classification algorithm used in machine learning that finds a linear combination of features ...
Abstract: In recent years, there have been many proposals to improve the performance of traditional linear discriminant analysis (LDA). One of these is subset-improving linear discriminant analysis (S ...
Welcome to the Machine Learning Notes repository! Here you'll find comprehensive notes on various topics covered in the Machine Learning course of the Master Degree program at the University of Trento ...
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