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What is the Role of Spatial Attention in Statistical Learning During Visual Search? [PDF]
Journal of CognitionOur ability to learn the regularities embedded in our environment is a fundamental aspect of our cognitive system. Does such statistical learning depend on attention? Research on this topic is scarce and has yielded mixed findings.
Aidai Golan +2 more
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Orthogonal statistical learning
The Annals of Statistics, 2023 Reorganized, added experiments and additional ...
Foster, Dylan J., Syrgkanis, Vasilis
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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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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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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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Statistics versus machine learning [PDF]
Nature Methods, 2018 Two major goals in the study of biological systems are inference andprediction. Inference creates a mathematical model of the datageneration process to formalize our understanding or test ahypothesis about how the system behaves. Prediction aims atforecasting unobserved outcomes or future behavior, such as whethera mouse with a given phenotype will ...
Bzdok, Danilo +2 more
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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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Explainable features responsible for the high or low spread of SARS-CoV-2: Africa in view
Scientific African, 2022 The low spread of the global pandemic in Africa has raised concerns. Consequently, many commentators have misconstrued concerns suspecting weather, and immunity to be prime reasons.
Olalekan J. Akintande +3 more
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Ridge Fusion in Statistical Learning [PDF]
, 2014 We propose a penalized likelihood method to jointly estimate multiple precision matrices for use in quadratic discriminant analysis and model based clustering.
Geyer, Charles J. +2 more
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