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The Makridakis Competitions (also known as the M Competitions or M-Competitions) are a series of open competitions to evaluate and compare the accuracy of different time series forecasting methods. They are organized by teams led by forecasting researcher Spyros Makridakis and were first held in 1982. [1] [2] [3] [4]
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Cost engineering is "the engineering practice devoted to the management of project cost, involving such activities as estimating, cost control, cost forecasting, investment appraisal and risk analysis". [1] "Cost Engineers budget, plan and monitor investment projects. They seek the optimum balance between cost, quality and time requirements." [2]
A structured general-purpose dataset on life, work, and death of 1.22 million distinguished people. Public domain. A five-step method to infer birth and death years, gender, and occupation from community-submitted data to all language versions of the Wikipedia project. 1,223,009 Text Regression, Classification 2022 Paper [258] Dataset [259]
The Global Energy Forecasting Competition (GEFCom) is a competition conducted by a team led by Dr. Tao Hong that invites submissions around the world for forecasting energy demand. [1] GEFCom was first held in 2012 on Kaggle , [ 2 ] and the second GEFCom was held in 2014 on CrowdANALYTIX.
The choice of construction method is a key aspect of the construction planning activity. The choice of construction method affects the extent to which construction prerequisites (e.g. Requirements analysis , Software design , .. etc.) are performed, the order in which they are performed, and the degree to which they are expected to be completed ...
Cost Estimating is an approximation of the cost of all resources needed to complete activities. Cost budgeting aggregating the estimated costs of resources, work packages and activities to establish a cost baseline. Cost Control – factors that create cost fluctuation and variance can be influenced and controlled using various cost management ...
Work in this direction includes echo state networks which partially include physical models, [13] hybrid echo state networks, [14] and continuous-time echo state networks. [15] The fixed RNN acts as a random, nonlinear medium whose dynamic response, the "echo", is used as a signal base.