Results 41 to 50 of about 9,871,334 (304)

Preserved Statistical Learning of Tonal and Linguistic Material in Congenital Amusia [PDF]

, 2011
Congenital amusia is a lifelong disorder whereby individuals have pervasive difficulties in perceiving and producing music. In contrast, typical individuals display a sophisticated understanding of musical structure, even in the absence of musical ...
Stewart, Lauren, Lauren Stewart, Omigie, Diana, Stewart, L., Diana eOmigie, Lauren eStewart, Stewart, L; id_orcid, Diana Omigie, Omigie, D., Omigie, D   +9 more
core   +1 more source

Effects of bilingualism on statistical learning in preschoolers [PDF]

, 2021
Earlier work indicates that bilingualism may positively affect statistical learning, but leaves open whether a bilingual benefit is (1) found during learning rather than in a post-hoc test following a learning phase and (2) explained by enhanced verbal ...
Verhagen, Josje, Verhagen, J., de Bree, Elise, de Bree, E.; id_orcid   +3 more
core   +1 more source

Multivariate Adaptive Regression Splines Enhance Genomic Prediction of Non-Additive Traits

Agronomy
The present work used Multivariate Adaptive Regression Splines (MARS) for genomic prediction and to study the non-additive fraction present in a trait. To this end, 12 scenarios for an F2 population were simulated by combining three levels of broad-sense
Maurício de Oliveira Celeri, Weverton Gomes da Costa, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Cosme Damião Cruz, Vitor Seiti Sagae, Moysés Nascimento   +6 more
doaj   +1 more source

Multi-decadal streamflow projections for catchments in Brazil based on CMIP6 multi-model simulations and neural network embeddings for linear regression models [PDF]

Hydrology and Earth System Sciences
A linear regression model is developed to link anomalies of streamflow to anomalies of precipitation amounts and temperature with the goal of making multi-decadal streamflow projections based on CMIP6 multi-model simulations.
M. Scheuerer, E. Byermoen, E. Byermoen, J. Ribeiro de Oliveira, T. Roksvåg, D. Vikhamar Schuler   +5 more
doaj   +1 more source

Statistical Learning in High Energy and Astrophysics [PDF]

, 2005
This thesis studies the performance of statistical learning methods in high energy and astrophysics where they have become a standard tool in physics analysis.
Zimmermann, Jens
core   +1 more source

Unlocking stroke prediction: Harnessing projection-based statistical feature extraction with ML algorithms

Heliyon
Non-communicable diseases, such as cardiovascular disease, cancer, chronic respiratory diseases, and diabetes, are responsible for approximately 71% of all deaths worldwide.
Saad Sahriar, Sanjida Akther, Jannatul Mauya, Ruhul Amin, Md Shahajada Mia, Sabba Ruhi, Md Shamim Reza   +6 more
doaj   +1 more source

Missing Risk Factor Prediction in Cardiovascular Disease Using a Blended Dataset and Optimizing Classification With a Stacking Algorithm

Engineering Reports
Machine learning is important in the treatment of heart disease because it is capable of analyzing large amounts of patient data, such as medical records, imaging tests, and genetic information, in order to identify patterns and predict the risk of ...
Jannatul Mauya, Saad Sahriar, Sanjida Akther, Ruhul Amin, Sabba Ruhi, Md. Shamim Reza   +5 more
doaj   +1 more source

Optional Defaultable Markets

Risks, 2017
The paper deals with defaultable markets, one of the main research areas of mathematical finance. It proposes a new approach to the theory of such markets using techniques from the calculus of optional stochastic processes on unusual probability spaces ...
Mohamed N. Abdelghani, Alexander V. Melnikov   +1 more
doaj   +1 more source

From statistical to causal learning

, 2023
To appear in the Proceedings of the International Congress of Mathematicians 2022, EMS Press. Both authors contributed equally to this work; names are listed in alphabetical order. 34 pages (28 content pages + references), 12 figures, 2 tables.
Bernhard Schölkopf, Julius von Kügelgen   +1 more
openaire   +3 more sources

On the Utility of E‐Learning in Statistics [PDF]

International Statistical Review, 2007
Summary Students of introductory courses consider statistics as particularly difficult, as the understanding of the underlying concepts may require more time and energy than for other disciplines. For decades statisticians have tried to enhance understanding with the help of technical solutions such as animation, video or interactive tools. However, it
Wolfgang Härdle, Sigbert Klinke, Uwe Ziegenhagen   +2 more
openaire   +2 more sources