Yazar: Rui Neves

Destek
João Baúto works at Fundacao Champalimaud in Lisbon, Portugal. He implements high performance computing tools applied to neuroscience and cancer research. Rui Ferreira Neves is a professor at Instituto Superior Técnico, Portugal. His research activity comprises evolutionary computation and pattern matching applied to the financial markets, sensor networks, embedded systems and mixed signal integrated circuits. Nuno Horta is the Head of the Integrated Circuits Group, Instituto de Telecomunicacoes, Portugal. His reseach interests are mainly in analog and mixed-sgnal IC design, analog IC design automation, soft computing and data science.




4 Ebooks tarafından Rui Neves

João Baúto & Rui Neves: Parallel Genetic Algorithms for Financial Pattern Discovery Using GPUs
This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible …
PDF
İngilizce
€53.49
Tomé Almeida Borges & Rui Neves: Financial Data Resampling for Machine Learning Based Trading
This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several crypt …
PDF
İngilizce
€69.54
Tiago Martins & Rui Neves: Stock Exchange Trading Using Grid Pattern Optimized by A Genetic Algorithm with Speciation
This book presents a genetic algorithm that optimizes a grid template pattern detector to find the best point to trade in the SP 500. The pattern detector is based on a template using a grid of weigh …
PDF
İngilizce
€69.54
Manuel Moura & Rui Neves: Using Fundamental Analysis and an Ensemble of Classifier Models Along with a Risk-Off Filter to Select Outperforming Companies
This book develops a quantitative stock market investment methodology using financial indicators that beats the benchmark of S&P500 index. To achieve this goal, an ensemble of machine learning models …
PDF
İngilizce
€149.79