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Mean absolute directional loss as a new loss function for machine learning problems in algorithmic investment strategies

Michańków, Jakub; Sakowski, Paweł; Ślepaczuk, Robert - 2023

Persistent link: https://www.econbiz.de/10014448222

How do machine learning algorithms perform in predicting hospital choices? : evidence from changing environments

Raval, Devesh; Rosenbaum, Ted; Wilson, Nathan E. - In: Journal of health economics 78 (2021), pp. 1-27

Persistent link: https://www.econbiz.de/10013256262

Glance of Machine Learning Algorithms for Prediction of Heart Disease

Sujatha, Dr. P.; Mahalakshmi, K.; Sathya, Dr. S. - 2020

In the digital world, data has turn out to be a most important asset for all kinds of organization. All industries are relying on the data for their day to day operations. We are living in the era of data driven decisions. Most of the industries are generating huge amount of data, Healthcare is...

Persistent link: https://www.econbiz.de/10014091970

Performance Analysis of Pattern Recognition Algorithms Using Artificial Neural Networks

Jangapally, Thirupathi - 2020

Anti-Malware enterprise faces the venture of evaluating huge quantity of information for achievable malicious contents. This is due to the truth that hackers introduce polymorphism to the present malicious groups/classes. Effective function extraction and classification of malware facts is...

Persistent link: https://www.econbiz.de/10014093855

Machine Learning Based Supplementary Prediction System Using K Nearest Neighbour Algorithm

Ghosh, Chinmoy; Saha, Subrata; Saha, Soumyadeep; Ghosh, … - 2020

subject wise chances of getting supplementary can be manifested. The model is using K Nearest Neighbour Algorithm, which is a … lazy algorithm a providing a good level of accuracy. The proposed method will help in analysis of supplementary students …

Persistent link: https://www.econbiz.de/10014102369

Predicting Money Laundering Sanctions Using Machine Learning Algorithms

Lokanan, Mark - 2022

This article predicts the likelihood of a country being sanctioned by Basel for not adhering to anti-money laundering (AML) standards. Multiple machine learning algorithms were used to identify the strongest risk predictors, resulting in Basel sanctions against a country. In terms of sanction...

Persistent link: https://www.econbiz.de/10014079038

A Fusion Model Integrating ANFIS and Artificial Immune Algorithm for Forecasting Indian Stock Market

Gunasekaran, M. - 2013

integrate Adaptive Neuro-Fuzzy Inference System (ANFIS) with Artificial Immune Algorithm (AIA) for predicting the future index … optimize decision-making process and an efficient artificial immune algorithm is adopted to adjust membership function …. Simulation results of our fusion model have been compared with other soft computing models and actual NSE Nifty data as benchmark …

Persistent link: https://www.econbiz.de/10013075035

A machine learning-based analysis of 311 requests in the Miami-Dade County

Cheng, Shaoming; Ganapati, Sukumar; Narasimhan, Giri; … - In: Growth and change : a journal of urban and regional policy 53 (2022) 4, pp. 1627-1645

Persistent link: https://www.econbiz.de/10013467095

Forecasting power load : a hybrid forecasting method with intelligent data processing and optimized artificial intelligence

Dai, Yeming; Yang, Xinyu; Leng, Mingming - In: Technological forecasting & social change : an … 182 (2022), pp. 1-11

Persistent link: https://www.econbiz.de/10013449046

Applied Algorithmic Machine Learning for Intelligent Project Prediction : Towards an AI Framework of Project Success

Hsu, Ming-Wei; Dacre, Nicholas; Senyo, PK - 2021

vector machine, and genetic algorithm and decision trees are sometimes used in several related studies. Furthermore, most …

Persistent link: https://www.econbiz.de/10013231395