Titlebook: Advances in Artificial Intelligence; 16th Conference of t José M. Puerta,José A. Gámez,Mikel Galar Conference proceedings 2015 Springer Int

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https://doi.org/10.1007/978-3-030-27588-4. The first is a form of ‘public’ forgetting (built over previous monoagent proposals) after which all agents know that the forgetful one has indeed forgotten the given formula; the second is a form of ‘secret’ forgetting after which the forgetful agent knows what has happened but the rest of them remain oblivious of the action.

comely

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Front Mattermost popular feature vectors are the Mel-Filter Cepstrum Coefficients (MFCC) and the Perceptual Linear Prediction Cepstrum Coefficients (PLP). In the extraction methods MFCC and PLP the signal decomposition and spectral analysis is followed by a lapped transform based on FFT. For the problem of abru

chemoprevention

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A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportionswe have seen a number of voice computing companies emerge including NeuroLex Laboratories and Lyssn who aim to use machine learning to process the voice signal and provide a clinical measure for patients and providers. Our work here demonstrates the application of machine and deep learning tools to

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infatuation

语源学

ch analysis’ is mainly the process of estimating the relatively slowly time-varying parameters which specify the filter, from a speech signal that is assumed to be the output of that filter. Other goals might include voiced/unvoiced classification and pitch-period estimation for voiced speech.

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Glaucoma Diagnosis: A Soft Set Based Decision Making Procedurethe product, LC, of inductance and capacitance matrices has multiple eigenvalues. We shall present here new algorithms that simplify the computation of characteristic admittance matrix and associated diagonally matched load impedances. The simplification of admittance matrix computation is particula

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