Abstract: Problem analysis has long been recognized as key to requirements engineering, for which Problem Frames approach offers a structured way by means of providing a generic paradigm for analyzing ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Dahl highlighted that software engineering isn't disappearing — it's transforming. It has been a while since tech leaders have cautioned developers about AI taking over the task of writing codes. Now ...

Abstract: In this review article, we provide a comprehensive guide to the endeavor of problem decomposition within the field of Genetic Programming (GP), specifically tree-based GP for supervised ...

This book presents an introduction to the calibration (estimation of parameters) of the Schwartz (1997) reduced-forrn, no-arbirrage two factor model by applying a ...

SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management The increase of computer processing speed is significantly outpacing improvements in network and storage ...

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A good way to see where this article is headed is to take a look at the screen shot of a demo program shown in Figure 1. The demo sets up a dummy dataset of six items: [ 5.1 3.5 1.4 0.2] [ 5.4 3.9 1.7 ...