Search Results - subject:"machine learning algorithm"

Czasonis, Megan; Kritzman, Mark; Turkington, David - In: Journal of investment management : JOIM 20 (2022) 1, pp. 37-47

Persistent link: https://www.econbiz.de/10013173470

Dynamic parameters and algorithm in predicting bank telemarketing success

Theera Prompreing; Kattareeya Prompreing; Sembiring … - In: International journal of business information systems : … 40 (2022) 3, pp. 399-414

Persistent link: https://www.econbiz.de/10013343466

On Forecasting Conflict in Sudan: 2009-2012

Bessler, David; Kibriya, Shahriar; Chen, Junyi; Price, Ed - Volkswirtschaftliche Fakultät, … - 2014

-of-sample period 2009 – 2012. The models used to generate these forecasts were based on a specification from a machine learning … algorithm fit to 2000 – 2008 monthly data. The idea here is that for policy purposes we need models that can forecast conflict …

Persistent link: https://www.econbiz.de/10011113787

Analysis of Machine Learning Algorithms in Health Care to Predict Heart Disease

Priyanga, P; Naveen, N C - In: International Journal of Healthcare Information Systems … 13 (2018) 4, pp. 82-97

This article describes how healthcare organizations is growing increasingly and are the potential beneficiary users of the data that is generated and gathered. From hospitals to clinics, data and analytics can be a very powerful tool that can improve patient care and satisfaction with...

Persistent link: https://www.econbiz.de/10012045234

Newsvendor problems with demand shocks and unknown demand distributions

O'Neil, Shawn; Zhao, Xuying; Sun, Daewon; Wei, Jerry C. - In: Decision sciences : DS 47 (2016) 1, pp. 125-156

Persistent link: https://www.econbiz.de/10011496969

A machine learning algorithm for classification under extremely scarce information

Utkin, Lev V.; Zhuk, Yulia A. - In: International Journal of Data Analysis Techniques and … 4 (2012) 2, pp. 115-133

When it is difficult to get learning data during the training time, we have to classify objects by having extremely small information about their feature. It is assumed in the paper that only some average or mean value of every feature and the lower and upper bounds of a set of its values are...

Persistent link: https://www.econbiz.de/10010669737