Results 11 to 20 of about 9,484,631 (302)
Manifold learning in statistical tasks
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 Many tasks of data analysis deal with high-dimensional data, and curse of dimensionality is an obstacle to the use of many methods for their solving.
A.V. Bernstein
doaj +1 more source
Statistical Relational Learning [PDF]
, 2011 Statistical relational learning a.k.a. probabilistic inductive logic programming deals with machine learning and data mining in relational domains where observations may be missing, partially observed, or noisy.
De Raedt, Luc, Kersting, Kristian
openaire +3 more sources
Error scaling laws for kernel classification under source and capacity conditions
Machine Learning: Science and Technology, 2023 In this manuscript we consider the problem of kernel classification. While worst-case bounds on the decay rate of the prediction error with the number of samples are known for some classifiers, they often fail to accurately describe the learning curves ...
Hugo Cui +3 more
doaj +1 more source
Journal of Intelligence, 2022 Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military.
Jessica Andrews-Todd +3 more
doaj +1 more source
Reading as Statistical Learning [PDF]
Language, Speech, and Hearing Services in Schools, 2018 Purpose The purpose of this tutorial is to explain how learning to read can be thought of as learning statistical regularities and to demonstrate why this is relevant for theory, modeling, and practice. This tutorial also shows how triangulation of methods and cross-linguistic research can be used to gain insight.
openaire +2 more sources
Infant Statistical Learning [PDF]
Annual Review of Psychology, 2018 Perception involves making sense of a dynamic, multimodal environment. In the absence of mechanisms capable of exploiting the statistical patterns in the natural world, infants would face an insurmountable computational problem. Infant statistical learning mechanisms facilitate the detection of structure.
Jenny R, Saffran, Natasha Z, Kirkham
openaire +2 more sources
Statistical learning of movement [PDF]
Journal of Vision, 2016 The environment is dynamic, but objects move in predictable and characteristic ways, whether they are a dancer in motion, or a bee buzzing around in flight. Sequences of movement are comprised of simpler motion trajectory elements chained together. But how do we know where one trajectory element ends and another begins, much like we parse words from ...
Joan Danielle Khonghun, Ongchoco +2 more
openaire +2 more sources
Rethinking statistical learning theory: learning using statistical invariants [PDF]
Machine Learning, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Vladimir Vapnik, Rauf Izmailov
openaire +1 more source
Seven days in Chile: Impact of the 2011 Puyehue-Cordon Caulle volcanic eruption on GPS ionospheric delay [PDF]
E3S Web of Conferences, 2019 Satellite navigation is a global utility and an essential component of national infrastructure. Disruptions of GNSS PNT services may be considered a threat to society and civilisation in general.
Jukić Oliver +3 more
doaj +1 more source
Statistical learning in children's emergent L2 literacy: Cross-cultural insights from rural Côte d'Ivoire [PDF]
, 2020 Supplemental Materials: https://osf.io/nza7m/Studies of non-linguistic statistical learning (SL) have often linked performance in SL tasks with differences in language outcomes.
Jasińska, Kaja +8 more
core +1 more source