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Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. T...
La finalidad de este estudio es analizar el ciclo de vida con el objetivo de calcular la huella de carbono en los diversos procesos que integran la operación de flota vehicular ...
This report is the first volume of the IPCC's Fourth Assessment Report. It covers several topics including the extensive range of observations now available for the atmosphere a...
Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that th...
Leon Festinger's theory of cognitive dissonance has been widely recognized for its important and influential concepts in areas of motivation and social psychology. The theory of...
This paper describes a number of applications of the 'k-means', a procedure for classifying a random sample of points in E sub N. The procedure consists of starting with k group...
This tutorial provides an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and gives practical details on methods of i...
A new approach to the construction of first-principles pseudopotentials is described. The method allows transferability to be improved systematically while holding the cutoff ra...
"Michel Foucault has become famous for a series of books that have permanently altered our understanding of many institutions of Western society. He analyzed mental institutions...
Linear algebra and matrix theory are fundamental tools in mathematical and physical science, as well as fertile fields for research. This new edition of the acclaimed text prese...
Agak berbeda dengan buku-buku Metodologi Riset yang sudah ada. Buku ini disajikan sesuai dengan urutan langkah dalam mengadakan penelitian. Oleh karena langkah penelitian yang m...