Machine learning and statistical techniques : an application to the prediction of insolvency in Spanish non-life insurance companies

The recent exponential growing of machine learning techniques (data-mining, deep-learning, manifold learning, linear and nonlinear regression techniques ... to cite but a few) makes

No obstante, como esta enfermedad afecta a cada persona de manera diferente, no todas las opciones de cuidado y tratamiento pueden ser apropiadas para cada individuo.. La forma

To do this, a set of data was taken as an example that describes the measurements gathered on rainfall in the main cities of Australia in the last 10 years, and some of the main

H I is the incident wave height, T z is the mean wave period, Ir is the Iribarren number or surf similarity parameter, h is the water depth at the toe of the structure, Ru is the

As generalization depends precisely on the degree of conditioning of this common element, this mechanism can elegantly explain perceptual learning within standard

For instance, the best overall accuracy of bagging in Breast with 20% noise is achieved using a 10% sampling ratio: The test error goes from 4.1% when no noise is injected to 3.5%

In particular, different versions of the training set for the base learners can be used, as in bagging (bootstrap sampling of training data), class-switching (noise injection in

This project consists of the development of a Roguelike game called Aia in which procedural generation techniques are applied to create procedural levels, and Machine