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Recall that cross-correlation, which the machine learning world often refers to as convolution is defined as: $$ S(i,j) = (\mathbf{K}*\mathbf{I}) = \sum_m^M \sum_n^N \mathbf{I}(i+m, j+n)\mathbf{K}(m,n ...

Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

Abstract: This paper proposed a wired network fault diagnosis method based on One-dimensional Convolutional Neural Network(1D-CNN) and distributed reflectometer ... the effectiveness of the proposed ...

We may receive compensation when you click on links to products we review. Please view our affiliate disclosure. As artificial intelligence (AI) continues to revolutionize many sectors, the vital ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=19 ...

Machine learning (ML) has become a critical driver of business success in today's world. This technology enables machines to perform complex tasks without explicit human programming by analyzing data ...

Caption:MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse ...