economy and wide engine operating range. Different advanced machine learning techniques, namely ELM (extreme learning machine …

parsing techniques, statistical machine learning offers many advantages for applied communication research. By using manually … analysis. In this paper, we briefly introduce the conceptual foundations of machine learning approaches to text classification …

gap by introducing a novel method based on data clustering and machine learning to price the guarantees for a large …

physical (“white box”) models are reviewed according three-category classification. Then, we present the main machine learning … building thermal behaviour and mathematics-related ones, consisting in the implementation of prediction model thanks to machine … learning techniques. This paper proposes a detailed review and discussion of these works. First, the approaches based on …

decision rules. Consequently, the application of technical analysis in trading could produce high returns. Machine learning …

use of machine learning methods in the failure prediction. Therefore, machine learning methods can be considered as having … financial distress and firm failure on theoretical grounds, gives a compact but elaborate explanation of machine learning …