K-Paths is a retrieval framework that extracts structured, diverse, and biologically meaningful paths from knowledge graphs (KGs). These extracted paths enables large language models (LLMs) and graph ...
Abstract: K-means clustering is a popular unsupervised machine learning method widely used in various applications, such as data mining, image processing, and social sciences. However, clustering can ...
WaLSAtools is an open-source library for analysing a wide variety of wave phenomena in time series data – including 1D signals, images, and multi-dimensional datasets. It provides tools to extract ...
The K-shaped economy has returned, with gaps widening between high and low-income Americans. Higher earners see steadier opportunities, while lower-income households face cooler prospects. Some ...
According to Sawyer Merritt (@SawyerMerritt), as of January 1st, 2026, all Tesla referral codes have reset, allowing users to make up to 10 referrals per calendar year, with each benefit expiring 12 ...
Engineering Dominance: Winning in Dallas means Miami cracking the Matt Patricia code that has turned Ohio State D into a machine ...
Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
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