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Pattern Recognition and Machine Learning (Information Science and Statistics)
TLDR
We have pattern recognition and machine learning information science and statistics to read, not only read, but also download them or even check out online. Expand
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Pattern Recognition and Machine Learning
TLDR
Probability Distributions.- Linear models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models. Expand
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Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Environmental Associates
TLDR
This paper looks at Bayesian machine learning approaches using Infer.NET to define wheeze phenotypes based on both parental questionnaires and General Practitioner data on patterns of wheezing in childhood. Expand
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Multiple atopy phenotypes and their associations with asthma: similar findings from two birth cohorts
Although atopic sensitization is one of the strongest risk factors for asthma, its relationship with asthma is poorly understood. We hypothesize that ‘atopy’ encompasses multiple sub‐phenotypes thatExpand
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Lassa Fever in Post-Conflict Sierra Leone
Background Lassa fever (LF), an often-fatal hemorrhagic disease caused by Lassa virus (LASV), is a major public health threat in West Africa. When the violent civil conflict in Sierra Leone (1991 toExpand
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Evaluation of calcium entry blockers in several models of immediate hypersensitivity.
Several calcium-entry blockers, i.e., verapamil, nifedipine, flunarizine and diltiazem, were evaluated for their effects in models of immediate hypersensitivity disease. Verapamil, flunarizine andExpand
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Changing How Earth System Modeling is Done to Provide More Useful Information for Decision Making, Science, and Society
TLDR
New details about natural and anthropogenic processes are continually added to models of the Earth system, anticipating that the increased realism will increase the accuracy of their predictions. Expand
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Classification and regression
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