Dimensionality reduction (DR) is a popular method for preparing and analyzing high-dimensional data.
In this study, we design a safety distance-based hierarchical AEB control system constituted of a high-level Rule-Based Supervisory control module, an intermediate-level switching algorithm and a low-level control module.
LionForests is a random forest-specific interpretation technique, which provides rules as explanations.
Artificial Intelligence (AI) has a tremendous impact on the unexpected growth of technology in almost every aspect.
The use of machine learning rapidly increases in high-risk scenarios where decisions are required, for example in healthcare or industrial monitoring equipment.
Lack of evaluation and selection criteria also makes it difficult for the end user to choose the most suitable technique.
We formulate the problem of the optimal EV to charging station allocation as a Mixed Integer Programming (MIP) one and we propose two pricing mechanisms: A fixed-price one, and another that is based on the well known Vickrey-Clark-Groves (VCG) mechanism.
Computer Science and Game Theory Systems and Control Systems and Control
Object perception is a fundamental sub-field of Computer Vision, covering a multitude of individual areas and having contributed high-impact results.
Towards a future where machine learning systems will integrate into every aspect of people's lives, researching methods to interpret such systems is necessary, instead of focusing exclusively on enhancing their performance.
Semantic Web Rule Language (SWRL) combines OWL (Web Ontology Language) ontologies with Horn Logic rules of the Rule Markup Language (RuleML) family.
The algorithm is hybrid in nature, combining novel and known concepts, such as a logic-based strategy and syntactic text-similarity measures on semantic annotations and textual descriptions.