Ekitaldiak
Ikusi guztiakEz da ekiltaldirik aurkitu.
Azken berriak
Ikusi guztiakBCAM pertsonak
Cristina Galán, BCAMeko PhD ikaslea, Bilboko Parekoan Topaketaren edizio berrian parte hartu du
- Cristinarekin batera, zientzia eta teknologiako 18 emakume profesional gehiago, Zabalgune eraikinean bildu diren 90 gazteri hitz egin diete beren lan-jardueran dituzten erronkei buruz.
Zentroari buruz, BCAM pertsonak
• Miguel Aguilera errioxarrak Junior Leader doktoretza-ondoko beken programaren barruan jaso du Caixa Fundazioaren laguntza. Programa horrek 40 beka eman berri dizkie ikertzaile bikainei.
Zentroari buruz
Matematika tailerrak eta bakarrizketak izango dira 2024ko BCAM Naukaseko protagonistak
- BCAM eta Euskal Herriko Unibertsitateko Kultura Zientifikoko Katedrak martxoaren 14rako goiz eta arratsalderako egitaraua antolatu dute.
Zentroari buruz
- IKUR hitzaldi kuantikoak Donostia International Physics Center (DIPC), Euskal Herriko Unibertsitatea (UPV/EHU) eta Basque Center for Applied Mathematics (BCAM) erakundeek a
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Ikusi guztiakAzken argitalpenak
Ikusi guztiakCharacterization of rankings generated by pseudo-Boolean functions
Unanue, I.; Merino, M.; Lozano, J.A. (2024-01-01)
In this paper we pursue the study of pseudo-Boolean functions as ranking generators. The objective of the work is to find new insights between the relation of the degree of a pseudo-Boolean function and the rankings that ...
Speeding-Up Evolutionary Algorithms to Solve Black-Box Optimization Problems
Echevarrieta, J.; Arza, E.; Pérez, A. (2024-01-10)
Population-based evolutionary algorithms are often considered when approaching computationally expensive black-box optimization problems. They employ a selection mechanism to choose the best solutions from a given population...
Fast Computation of Cluster Validity Measures for Bregman Divergences and Benefits
Capó, M.; Pérez, A.; Lozano, J.A. (2023-01-01)
Partitional clustering is one of the most relevant unsupervised learning and pattern recognition techniques. Unfortunately, one of the main drawbacks of these methodologies refer to the fact that the number of clusters is ge...
Fast K-Medoids With the l_1-Norm
Capó, M.; Pérez, A.; Lozano, J.A. (2023-07-26)
K-medoids clustering is one of the most popular techniques in exploratory data analysis. The most commonly used algorithms to deal with this problem are quadratic on the number of instances, n, and usually the quality of the...