Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Fuzzy broad learning system (Fuzzy BLS) constitutes an effective neural network architecture that has demonstrated remarkable efficacy across various real-world application domains.
KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...
This library abstracts all necessary steps for acquiring and saving video data. During each runtime, it interfaces with one or more cameras to grab the raw frames and encodes them as video files ...
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