“Metalearning: Applications to Automated Machine Learning and Data Mining” is the title of the new book by Pavel Brazdil and Carlos Soares, researchers at INESC TEC, written in partnership with Jan N. van Rijn and Joaquin Vanschoren.
Published by Springer, the book sets the stage for authors to discuss different approaches to gathering information about artificial intelligence performance and data management algorithms. Researchers have shown how this information can be reused to select, combine, compose, and adapt algorithms and models to produce faster and more effective solutions to data extraction problems, thus helping programmers improve their algorithms.
This new edition, which presents itself as a significant update of the original 2009 book entitled “Metalearning Applications to Data Mining”, is open access, meaning that it is available online for free.
Pavel Brazdil, researcher and founder of INESC TEC’s Laboratory of Artificial Intelligence and Decision Support (LIAAD), has been Professor Emeritus at the University of Porto (UP) since March 2019. He holds a degree in Electrotechnical Engineering and a PhD in Artificial Intelligence from the University of Edinburgh (Scotland). Carlos Soares, holding a PhD from the Faculty of Sciences of UP since 2004, and currently an associate professor at the Faculty of Engineering of UP, also collaborates with LIAAD in terms of data structures and artificial intelligence.
The INESC TEC researchers mentioned in this news piece are associated with INESC TEC and UP-FEUP