A CONVEX LASSO FRAMEWORK FOR LINEAR TIMETABLING

A Convex LASSO Framework for Linear Timetabling

A new convex optimization framework for approximately solving timetabling problems that can be described as integer linear programs is proposed.The method is based on converting the timetabling problem into a cardinality constrained problem while viewing the operational constraints of the timetable as noisy measurements with an unknown average slac

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Construction of machine learning-based models for screening the high-risk patients with gastric precancerous lesions

Abstract Background The individualized prediction and discrimination of precancerous lesions of gastric cancer (PLGC) is critical for the early prevention of gastric cancer (GC).However, accurate non-invasive methods for distinguishing between PLGC and GC are currently lacking.This study therefore aimed to develop a risk prediction model by machine

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Impact of Dental Neglect Scale on Oral Health Status Among Different Professionals in Indore City-A Cross-Sectional Study

Background: Young educated Indian generation are very much health conscious.They take adequate nutritious balanced diet and practice physical exercise regularly to keep themselves active and healthy.Oral health is a part of general health care system.If oral health is neglected it may affect our general health and as a result it affects our quality

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