Книга Statistical Inference from High Dimensional Data Carlos Fernandez-Lozano

Statistical Inference from High Dimensional Data

Език: Английски език
Корици: С твърди корици
Издател: MDPI AG
Наличност: Външен склад
Изпращаме след 9-15 дни
63.90 124.97 лв
• Real-world problems can be high-dimensional, complex, and noisy • More data does not imply more in...

Информация за книгата

Език
Английски език
Корици
Книга - С твърди корици
Издадена
2021
страници
314
EAN
9783036509440
ISBN
3036509445
Enbook ID
35778373
Издател
Теглоt
875
Размери
170 x 244 x 25

Пълно описание

• Real-world problems can be high-dimensional, complex, and noisy • More data does not imply more information • Different approaches deal with the so-called curse of dimensionality to reduce irrelevant information • A process with multidimensional information is not necessarily easy to interpret nor process • In some real-world applications, the number of elements of a class is clearly lower than the other. The models tend to assume that the importance of the analysis belongs to the majority class and this is not usually the truth • The analysis of complex diseases such as cancer are focused on more-than-one dimensional omic data • The increasing amount of data thanks to the reduction of cost of the high-throughput experiments opens up a new era for integrative data-driven approaches • Entropy-based approaches are of interest to reduce the dimensionality of high-dimensional data

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