نتایج جستجو برای: statistical model lars
تعداد نتایج: 2375475 فیلتر نتایج به سال:
Effect of Climate Change on potato Production and assessment adaptation strategies in Fereydounshahr
In order to study was to evaluate future climate Fereydunshahr of Isfahan for the next hundred years and its effect on potato production in Fereydunshahr. To forecast future climate conditions in Fereydunshahr were collected daily climate data including maximum and minimum temperature, rainfall and sunshine hours in this region during the period 1982 to 2012. In this study was used to simulate ...
Variable selection via penalized estimation is appealing for dimension reduction. For penalized linear regression, Efron, et al. (2004) introduced the LARS algorithm. Recently, the coordinate descent (CD) algorithm was developed by Friedman, et al. (2007) for penalized linear regression and penalized logistic regression and was shown to gain computational superiority. This paper explores...
Ising model is a mathematical model of ferromagnetism in statistical mechanics, which was invented by Wilhelm Lenz (1920). Wilhelm Lenz gave the model as a problem to his student Ernst Ising. Ising solved this problem in one-dimension in his PHD thesis (1924)[1], which worked on linear chains of coupled magnetic moments. Rudolf Peierls named this model by Ising model in his 1936 publication “On...
Helge Backhaus, Denis Martin, and Hans Wippel attended this year’s IEEE Conference on Local Computer Networks 2009 in Zurich. There they presented a demonstrator based on research of the 4WARD and G-Lab project, as well as the IME graduate school (Fig. 1). The demo was created together with Lars Völker, Peter Baumung, and Benjamin Behringer. Selected concepts of the demonstrator include the des...
PURPOSE To systematically review and assess the use of the Ligament Advanced Reinforcement System (LARS; Surgical Implants and Devices, Arc-sur-Tille, France) for posterior cruciate ligament (PCL) reconstruction. METHODS A search of multiple databases was conducted using the following terms: (LARS[All Fields] AND posterior[All Fields]) OR (LARS[All Fields] AND PCL[All Fields]). The methodolog...
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