116 citations · 340 across the 21 of their papers we have counts for
4 papers · 1 filter
Evolving Gaussian Process kernels from elementary mathematical expressions
Ibai Roman, Roberto Santana, Alexander Mendiburu +1
Choosing the most adequate kernel is crucial in many Machine Learning applications. Gaussian Process is a state-of-the-art technique for regression and classification that heavily…
Taxonomization of Combinatorial Optimization Problems in Fourier Space
Anne Elorza, Leticia Hernando, Jose A. Lozano
We propose and develop a novel framework for analyzing permutation-based combinatorial optimization problems, which could eventually be extended to other types of problems. Our app…
Sentiment analysis with genetically evolved Gaussian kernels
Ibai Roman, Alexander Mendiburu, Roberto Santana +1
Sentiment analysis consists of evaluating opinions or statements from the analysis of text. Among the methods used to estimate the degree in which a text expresses a given sentimen…
A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks
Pablo Rozas Larraondo, Luigi J. Renzullo, Inaki Inza +1
Numerical Weather Prediction (NWP) models represent sub-grid processes using parameterizations, which are often complex and a major source of uncertainty in weather forecasting. In…