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Statistical learning in spelling and reading. [PDF]
Trends Cogn SciThe statistical learning view of word reading and spelling is based on the ideas that writing systems have a rich statistical structure and that people implicitly pick up this structure as they learn to read and write. Whereas laboratory studies stress the speed and power of statistical learning, the evidence we review shows that adults with years of ...
Treiman R, Kessler B.
europepmc +3 more sources
On Statistical Efficiency in Learning [PDF]
IEEE Transactions on Information Theory, 2021 A central issue of many statistical learning problems is to select an appropriate model from a set of candidate models. Large models tend to inflate the variance (or overfitting), while small models tend to cause biases (or underfitting) for a given fixed dataset.
Jie Ding 0002 +3 more
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Orthogonal statistical learning
The Annals of Statistics, 2023 Reorganized, added experiments and additional ...
Dylan J. Foster, Vasilis Syrgkanis
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Variable Selection and Allocation in Joint Models via Gradient Boosting Techniques
Mathematics, 2023 Modeling longitudinal data (e.g., biomarkers) and the risk for events separately leads to a loss of information and bias, even though the underlying processes are related to each other.
Colin Griesbach +2 more
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Statistical learning and memory [PDF]
Cognition, 2020 Learners often need to identify and remember recurring units in continuous sequences, but the underlying mechanisms are debated. A particularly prominent candidate mechanism relies on distributional statistics such as Transitional Probabilities (TPs).
Ansgar D. Endress +2 more
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scDLC: a deep learning framework to classify large sample single-cell RNA-seq data
BMC Genomics, 2022 Background Using single-cell RNA sequencing (scRNA-seq) data to diagnose disease is an effective technique in medical research. Several statistical methods have been developed for the classification of RNA sequencing (RNA-seq) data, including, for ...
Yan Zhou +5 more
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BMC Genomics, 2021 Background Identifying differentially expressed genes between the same or different species is an urgent demand for biological and medical research. For RNA-seq data, systematic technical effects and different sequencing depths are usually encountered ...
Yan Zhou +4 more
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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
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Descriptor extraction on inherent creep strength of carbon steel by exhaustive search
Science and Technology of Advanced Materials: Methods, 2021 The alloying elements that control the creep rupture life of low carbon steel in the region of inherent creep strength were investigated by a data-driven model selection method. The experimental data published in NRIM Creep Data Sheet No. 7B was used.
Junya Sakurai +5 more
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Statistical Learning in Wasserstein Space [PDF]
IEEE Control Systems Letters, 2021 We seek a generalization of regression and principle component analysis (PCA) in a metric space where data points are distributions metrized by the Wasserstein metric. We recast these analyses as multimarginal optimal transport problems. The particular formulation allows efficient computation, ensures existence of optimal solutions, and admits a ...
Amir-Hossein Karimi +2 more
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