Andere Kunden interessierten sich auch für
![Reasoning Web. Causality, Explanations and Declarative Knowledge]( "Reasoning Web. Causality, Explanations and Declarative Knowledge")
Reasoning Web. Causality, Explanations and Declarative Knowledge43,99 €![Conditionals in Nonmonotonic Reasoning and Belief Revision]( "Conditionals in Nonmonotonic Reasoning and Belief Revision")
Conditionals in Nonmonotonic Reasoning and Belief Revision40,99 €![Logics in Artificial Intelligence]( "Logics in Artificial Intelligence")
Logics in Artificial Intelligence37,99 €![Automated Reasoning with Analytic Tableaux and Related Methods]( "Automated Reasoning with Analytic Tableaux and Related Methods")
Automated Reasoning with Analytic Tableaux and Related Methods48,99 €![Belief Revision in Non-Classical Logics]( "Belief Revision in Non-Classical Logics")
Belief Revision in Non-Classical Logics37,99 €![Explainable Machine Learning for Multimedia Based Healthcare Applications]( "Explainable Machine Learning for Multimedia Based Healthcare Applications")
Explainable Machine Learning for Multimedia Based Healthcare Applications132,99 €![Agents and Artificial Intelligence]( "Agents and Artificial Intelligence")
Agents and Artificial Intelligence37,99 €
The purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers.
The broad theme of this year's summer school was again "Declarative Artificial Intelligence" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.
The broad theme of this year's summer school was again "Declarative Artificial Intelligence" and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.