Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Sebastian Ordyniak"'
Autor:
Robert Ganian, Sebastian Ordyniak
Publikováno v:
Algorithms, Vol 12, Iss 12, p 248 (2019)
Integer Linear Programming (ILP) is among the most successful and general paradigms for solving computationally intractable optimization problems in computer science. ILP is NP-complete, and until recently we have lacked a systematic study of the com
Externí odkaz:
https://doaj.org/article/3a825b345d9f46028df9313386d10e71
Publikováno v:
Logical Methods in Computer Science, Vol Volume 11, Issue 4 (2015)
We prove that the model checking problem for the existential fragment of first-order (FO) logic on partially ordered sets is fixed-parameter tractable (FPT) with respect to the formula and the width of a poset (the maximum size of an antichain). Whil
Externí odkaz:
https://doaj.org/article/e74e826cd8944d8eb99047a874b26eba
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 36:3724-3732
The simple temporal problem (STP) is one of the most influential reasoning formalisms for representing temporal information in AI. We study the problem of resolving inconsistency of data encoded in the STP. We prove that the problem of identifying a
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
We consider the problem of fairly dividing a set of heterogeneous divisible resources among agents with different preferences. We focus on the setting where the resources correspond to the edges of a connected graph, every agent must be assigned a co
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:1388-1396
Object association, i.e., the identification of which observations correspond to the same object, is a central task for the area of multiple object tracking. Two prominent models capturing this task have been introduced in the literature: the Lifted
Autor:
Sebastian Ordyniak, Stefan Szeider
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:6454-6462
We study the NP-hard problem of learning a decision tree (DT) of smallest depth or size from data. We provide the first parameterized complexity analysis of the problem and draw a detailed parameterized complexity map for the natural parameters: size
Publikováno v:
35th AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada [Conference proceedings]
The constraint satisfaction problem (CSP) has important applications in computer science and AI. In particular, infinite-domain CSPs have been intensively used in subareas of AI such as spatio-temporal reasoning. Since constraint satisfaction is a co
Publikováno v:
Journal of Computer and System Sciences. 110:1-21
Similar to the satisfiability (SAT) problem, which can be seen to be the archetypical problem for NP, the quantified Boolean formula problem (QBF) is the archetypical problem for PSPACE. Recently, Atserias and Oliva (2014) showed that, unlike for SAT
Publikováno v:
AAAI
We consider a fundamental matrix completion problem where we are given an incomplete matrix and a set of constraints modeled as a CSP instance. The goal is to complete the matrix subject to the input constraints and in such a way that the complete ma
Publikováno v:
AAAI
We consider the classical problem of allocating resources among agents in an envy-free (and, where applicable, proportional) way. Recently, the basic model was enriched by introducing the concept of a social network which allows to capture situations