These techniques have included classical time series analysis, multiple regression and adaptive forecasting procedures. As a result of these developments, the individual company and decision maker is faced with the task of selecting the forecasting technique that is most appropriate for his situation. ...
Therefore, this compatibility can be used as a criterion for selecting a model. Simultaneously, the theoretical findings also reveal that this bound is linked to the trajectories generated by the given policy on the learnt model. Furthermore, it correlates with the forecasting inaccuracy of the ...
Random Forest (RF) is a widely used machine learning algorithm for crop type mapping. RF’s variable importance aids in dimension reduction a
Moreover, in order to perform a logical selection of alternative aircraft configurations, it uses advanced decision-making methods such as morphological matrix and technique for order preference by similarity to the ideal solution. In addition, a preliminary sizing tool has been developed to check ...
[33] introduced a novel hybrid MCDM approach to evaluate innovations strategies of China's banking industry. The model is built upon the Decision-making trial and evaluation laboratory (DEMATEL) technique, DEMATEL-based Analytic Network Process (DANP) and modified VIKOR methods. The authors use ...
two classes. Finding the best hyperplane is equivalent to maximizing the margin or distance between two sets of objects from two categories. Samples located along a hyperplane are called support vectors. In this technique, it is attempted to find the best classifier/hyperplane function among ...
The framework of the proposed method based on the wrapper-wrapper feature selection technique, consisting of two phases. First, the GA confines the total number of features and then passes them towards the WCC. All the CSs are scored by the SVM. At the end of the method, the best CS is...
Answer to: Interviewing job candidates to assess their fit with the job and organization is part of: A) attracting B) selecting C) deploying D)...
Sector-Based Pairs Trading Strategy With Novel Pair Selection Technique 2025, IEEE Transactions on Artificial Intelligence Machine Learning-Enhanced Pairs Trading 2024, Forecasting A Performance Analysis of Technical Indicators on the Indian Stock Market ...
Proposed soft set-based technique In this section, we introduce a Novel Soft Set Approach (NSSA) in selecting a clustering attribute. First, we define a soft set model on the equivalence classes for the information system, which can be easily applied to obtaining approximation of the rough set...