Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Konstantin Schekotihin"'
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 306, Iss Proc. ICLP 2019, Pp 22-35 (2019)
Domain-specific heuristics are an important technique for solving combinatorial problems efficiently. We propose a novel semantics for declarative specifications of domain-specific heuristics in Answer Set Programming (ASP). Decision procedures that
Externí odkaz:
https://doaj.org/article/8cfe04ca5cb0402584e8e4ee940491b6
Publikováno v:
EDFA Technical Articles. 25:16-28
This article provides a systematic overview of knowledge-based and machine-learning AI methods and their potential for use in automated testing, defect identification, fault prediction, root cause analysis, and equipment scheduling. It also discusses
Publikováno v:
Journal of Artificial Intelligence Research. 76:59-114
Domain-specific heuristics are an essential technique for solving combinatorial problems efficiently. Current approaches to integrate domain-specific heuristics with Answer Set Programming (ASP) are unsatisfactory when dealing with heuristics that ar
Publikováno v:
Electronic Proceedings in Theoretical Computer Science. 364:132-135
Autor:
Pierre Tassel, Benjamin Kovács, Martin Gebser, Konstantin Schekotihin, Wolfgang Kohlenbrein, Philipp Schrott-Kostwein
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:638-646
Scheduling is an important problem for many applications, including manufacturing, transportation, or cloud computing. Unfortunately, most of the scheduling problems occurring in practice are intractable and, therefore, solving large industrial insta
Publikováno v:
Scopus-Elsevier
Efficient omission of symmetric solution candidates is essential for combinatorial problem-solving. Most of the existing approaches are instance-specific and focus on the automatic computation of Symmetry Breaking Constraints (SBCs) for each given pr
Publikováno v:
IEEE Transactions on Software Engineering. 47:2195-2207
Electronic spreadsheets are widely used in organizations for various data analytics and decision-making tasks. Even though faults within such spreadsheets are common and can have significant negative consequences, today's tools for creating and handl
Publikováno v:
International Symposium for Testing and Failure Analysis.
The development of intelligent assistants helping Failure Analysis (FA) engineers in their daily work is essential to any digitalization strategy. In particular, these systems must solve various computer vision or natural language processing problems
Publikováno v:
2022 14th International Conference on Advanced Semiconductor Devices and Microsystems (ASDAM).
Publikováno v:
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
Faults in spreadsheets are not uncommon and they can have significant negative consequences in practice. Various approaches for fault localization were proposed in recent years, among them techniques that transferred ideas from spectrum-based fault l