Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kostas Proedrou"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540440369
ECML
ECML
The existing methods of predicting with confidence give good accuracy and confidence values, but quite often are computationally inefficient. Some partial solutions have been suggested in the past. Both the original method and these solutions were ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25dcbaeb93e02fff53e5fac1fff093ff
https://doi.org/10.1007/3-540-36755-1_29
https://doi.org/10.1007/3-540-36755-1_29
Autor:
BATES, STEPHEN1 stephenbates@cs.berkeley.edu, ANGELOPOULOS, ANASTASIOS1 angelopoulos@berkeley.edu, LIHUA LEI2 lihualei@stanford.edu, MALIK, JITENDRA1 malik@eecs.berkeley.edu, JORDAN, MICHAEL1 jordan@cs.berkeley.edu
Publikováno v:
Journal of the ACM. Dec2021, Vol. 68 Issue 6, p1-34. 34p.
Autor:
LAMBROU, ANTONIS, PAPADOPOULOS, HARRIS, KYRIACOU, EFTHYVOULOS, PATTICHIS, CONSTANTINOS S., PATTICHIS, MARIOS S., GAMMERMAN, ALEXANDER, NICOLAIDES, ANDREW
Publikováno v:
International Journal on Artificial Intelligence Tools; Aug2012, Vol. 21 Issue 4, p-1, 18p, 1 Black and White Photograph, 6 Charts
Autor:
Manu Joseph, Jeffrey Tackes
Learn traditional and cutting-edge machine learning (ML) and deep learning techniques and best practices for time series forecasting, including global forecasting models, conformal prediction, and transformer architecturesKey FeaturesApply ML and glo
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intel
This book is about conformal prediction, an approach to prediction that originated in machine learning in the late 1990s. The main feature of conformal prediction is the principled treatment of the reliability of predictions. The prediction algorithm
Algorithmic Learning in a Random World describes recent theoretical and experimental developments in building computable approximations to Kolmogorov's algorithmic notion of randomness. Based on these approximations, a new set of machine learning alg