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Regularization Paths for Generalized Linear Models via Coordinate Descent
Journal of Statistical Software, 2010 We develop fast algorithms for estimation of generalized linear models with convex penalties. The models include linear regression, two-class logistic regression, and multi- nomial regression problems while the penalties include ℓ1 (the lasso), ℓ2 (ridge
Jerome Friedman +2 more
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Biofilm, 2023 The International Space Station (ISS) Water Processor Assembly (WPA) experiences intermittent dormancy in the WPA wastewater tank during water recycling events which promotes biofilm formation within the system.
Angie Diaz +6 more
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The reciprocal Bayesian LASSO [PDF]
Statistics in Medicine, 2021 AbstractA reciprocal LASSO (rLASSO) regularization employs a decreasing penalty function as opposed to conventional penalization approaches that use increasing penalties on the coefficients, leading to stronger parsimony and superior model selection relative to traditional shrinkage methods.
Himel Mallick +3 more
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Life, 2021 The establishment of steady-state continuous crop production during long-term deep space missions is critical for providing consistent nutritional and psychological benefits for the crew, potentially improving their health and performance.
Mary E. Hummerick +13 more
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BMC Microbiology, 2021 Background Seed sanitization via chemical processes removes/reduces microbes from the external surfaces of the seed and thereby could have an impact on the plants’ health or productivity.
Anirudha R. Dixit +11 more
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Frontiers in Plant Science, 2023 Outside the protection of Earth’s magnetic field, organisms are constantly exposed to space radiation consisting of energetic protons and other heavier charged particles.
Anirudha R. Dixit +8 more
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Hi-LASSO: High-Dimensional LASSO [PDF]
IEEE Access, 2019 High-throughput genomic technologies are leading to a paradigm shift in research of computational biology. Computational analysis with high-dimensional data and its interpretation are essential for the understanding of complex biological systems. Most biological data (e.g., gene expression and DNA sequence data) are high-dimensional, but consist of ...
Youngsoon Kim +4 more
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Cognitive Computation, 2016 Lasso-type variable selection has been demonstrated to be effective in handling high-dimensional data. From the biological perspective, traditional Lasso-type models are capable of learning which stimuli are valuable while ignoring the many that are not, and thus perform feature selection.
Zhihong Zhang 0001 +6 more
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Povýběrová Inference: Lasso & Skupinové Lasso
, 2017 The lasso is a popular tool that can be used for variable selection and esti- mation, however, classical statistical inference cannot be applied for its estimates. In this thesis the classical and the group lasso is described together with effici- ent algorithms for the solution.
Bouř, Vojtěch
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Microbiological and Nutritional Analysis of Lettuce Crops Grown on the International Space Station
Frontiers in Plant Science, 2020 The ability to grow safe, fresh food to supplement packaged foods of astronauts in space has been an important goal for NASA. Food crops grown in space experience different environmental conditions than plants grown on Earth (e.g., reduced gravity ...
Christina L. M. Khodadad +8 more
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