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: The aim of this paper is to show the accuracy and time results of a text independent automatic speaker recognition (ASR) system, based on Mel-Frequency Cepstrum Coefficients (MFCC) and ...
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A modified flappy bird game, made to teach myself sprite animation and how to make endless side-scroll games. Made based on the following tutorial: Download the files using the green code button and ...
Programming competition problems in AI can be used to assess programmers’ abilities to tackle artificial tasks and to test the boundaries of current algorithms. Thus, a research team from MIT, ...
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