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Application of Supervised Machine Learning Techniques and Digital Image Analysis for Predicting Live Weight in Anadolu-T Broilers. [PDF]

Animals (Basel)
Küçüktopçu E, Cemek B, Yıldırım D, Simsek H, Erensoy K, Sarıca M.   +5 more
europepmc   +1 more source

Machine Learning-Based Prediction of Elekta MLC Motion with Dosimetric Validation for Virtual Patient-Specific QA. [PDF]

Bioengineering (Basel)
Min BJ, Yoo GS, Yoo SH, Kim WD.
europepmc   +1 more source

Deep learning for incidence rate prediction and radiation risk assessment of solid tumors. [PDF]

Sci Rep
Liu Z, Nakamizo T, Misumi M, Ono S, Shuryak I, Ullrich RL.   +5 more
europepmc   +1 more source

Glyphosate exposure, bone mineral density, osteoporosis, and fractures in the United States population. [PDF]

J Environ Health Sci Eng
Khalil N, Hamdaoui L, Ducatman A, Koskela A, Rebai T, Lee M, Nahhas RW.   +6 more
europepmc   +1 more source

Factors associated with psychological wellbeing, is education one of them? [PDF]

PLoS One
Oskrochi G, Oskrochi Y, Eskrootchi R.
europepmc   +1 more source

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Scalable training of L1-regularized log-linear models

International Conference on Machine Learning, 2007
The L-BFGS limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be used for an L1-regularized loss due to its non-differentiability whenever ...
Galen Andrew, Jianfeng Gao
semanticscholar   +1 more source