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Classification of Time Series with Multiple Output Gaussian Processes and MCE.
Introducción: A growing interest within the Gaussian processes community in Machine learning has been the formulation of suitable covariance functions for describing multiple output processes as a joint Gaussian process. Examples include the semiparametric latent factor model [21], the multi-task Gaussian process [8], or the convolved multi-output Gaussian process [3, 9]. Each of these methods uses as a model for the covariance function either a version of the linear model of coregionalization (LMC) [12] or a version of process convolutions (PC) [14]. Diferent alternatives for building covariance functions for multiple-output processes have been reviewed by [5]. Multiple output GPs have been used for supervised learning problems, specif- ically, for multi-output regression [8], and multi-class classi#xC;cation [10, 20]. The interest has been mainly on exploiting the correlations between outputs to improve the prediction performance, when compared to modeling each output independently. In particular, a Gaussian process is used as a prior over vector- valued functions f (x) mapping from x 2 Rp to f 2 RD. Components of f may be continuous or discrete...
Unraveling Abolition
A study of the legal origins of antislavery, and how Colombian slaves transformed ideas on slavery, freedom and political belonging.
Spanish Artists from the Fourth to the Twentieth Century
A bibliographical dictionary which constitutes details of the Spanish school, covering artists born in Spain as well as those who worked chiefly in Spain. Approximately 1600 years of Spanish art are documented with consideration paid to each artist's birth and death dates, medium and bibliographical references. The three-volume work lists about 10,000 painters, sculptors, draftsmen, printmakers, architects and applied artists. Some entries also include explanatory, interpretive or clarifying notes.
The New American Antiquarian, Volume III, Fall 2024
ISSN 2769-4100
The New American Antiquarian, Volume II, Fall 2023
ISSN 2769-4100
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