نتایج جستجو برای: stagewise modeling

تعداد نتایج: 389652  

2007
Gabriele Scherrer

1 Process-centered Information System Development In process-centered development environments, the software development process is automatically guided and supported by a process model. In this context, a process model can be defined as a formal, executable description of the development process in terms of activities and results (documents). Traditionally, process models like the well-known w...

Journal: :Electronic Journal of Statistics 2007

2008
Krzysztof Dembczynski Wojciech Kotlowski Roman Slowinski

We introduce a novel decision rule induction algorithm for solving the regression problem. There are only few approaches in which decision rules are applied to this type of prediction problems. The algorithm uses a single decision rule as a base classifier in the ensemble. Forward stagewise additive modeling is used in order to obtain the ensemble of decision rules. We consider two types of los...

Journal: :Journal of Machine Learning Research 2003
Shie Mannor Ron Meir Tong Zhang

Many regression and classification algorithms proposed over the years can be described as greedy procedures for the stagewise minimization of an appropriate cost function. Some examples include additive models, matching pursuit, and boosting. In this work we focus on the classification problem, for which many recent algorithms have been proposed and applied successfully. For a specific regulari...

Journal: :The journal of Bahria University Medical and Dental College 2021

From January 2020 to May 2021, Pakistan quoted World health Organization 858,026 confirmed cases and 18,915 deaths of COVID - 19. China donated Sinopharm vaccines in February the stagewise immunization program started with an enrolment healthcare workers elderly at priority

Journal: :Spatial and Spatio-temporal Epidemiology 2016

2008
Shuang-Hong Yang Bao-Gang Hu

This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex loss function in a stagewise manner. Several benefits are obtained from using the SLS loss function, such as: (i) higher generalization accuracy and better scalability than classical least square loss; (ii) improved perfo...

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