Zobrazeno 1 - 10
of 264
pro vyhledávání: '"Krawiec Krzysztof"'
Autor:
Kwiatkowski Jakub, Krawiec Krzysztof
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 34, Iss 2, Pp 309-321 (2024)
Learning to perform abstract reasoning often requires decomposing the task in question into intermediate subgoals that are not specified upfront, but need to be autonomously devised by the learner. In Raven progressive matrices (RPMs), the task is to
Externí odkaz:
https://doaj.org/article/09ea73b317654a7caf758002407600ec
Autor:
Bednarek, Jakub, Krawiec, Krzysztof
The ability to think abstractly and reason by analogy is a prerequisite to rapidly adapt to new conditions, tackle newly encountered problems by decomposing them, and synthesize knowledge to solve problems comprehensively. We present TransCoder, a me
Externí odkaz:
http://arxiv.org/abs/2410.04480
Autor:
Krawiec, Krzysztof, Nowinowski, Antoni
Contemporary deep learning architectures lack principled means for capturing and handling fundamental visual concepts, like objects, shapes, geometric transforms, and other higher-level structures. We propose a neurosymbolic architecture that uses a
Externí odkaz:
http://arxiv.org/abs/2409.09716
Autor:
Krawiec Krzysztof, Liskowski Paweł
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 42, Iss 4, Pp 339-358 (2017)
Genetic programming (GP) is a variant of evolutionary algorithm where the entities undergoing simulated evolution are computer programs. A fitness function in GP is usually based on a set of tests, each of which defines the desired output a correct p
Externí odkaz:
https://doaj.org/article/638e03619636485082d59c69127c34dc
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 27, Iss 4, Pp 669-679 (2017)
This paper shows how big data analysis opens a range of research and technological problems and calls for new approaches. We start with defining the essential properties of big data and discussing the main types of data involved. We then survey the d
Externí odkaz:
https://doaj.org/article/2ac4b4fb3b9741d39fc74284c7ae9f75
Autor:
Koniorczyk, Mátyás, Krawiec, Krzysztof, Botelho, Ludmila, Bešinović, Nikola, Domino, Krzysztof
We address the applicability of hybrid quantum-classical heuristics for practical railway rescheduling management problems. We build an integer linear model for the given problem and solve it with D-Wave's quantum-classical hybrid solver as well as w
Externí odkaz:
http://arxiv.org/abs/2309.06763
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 26, Iss 1, Pp 215-229 (2016)
In test-based problems, solutions produced by search algorithms are typically assessed using average outcomes of interactions with multiple tests. This aggregation leads to information loss, which can render different solutions apparently indifferent
Externí odkaz:
https://doaj.org/article/e01c1c1a70c0450ea10a4f53d04ed00b
Autor:
Kwiatkowski, Jakub, Krawiec, Krzysztof
Learning to perform abstract reasoning often requires decomposing the task in question into intermediate subgoals that are not specified upfront, but need to be autonomously devised by the learner. In Raven Progressive Matrices (RPM), the task is to
Externí odkaz:
http://arxiv.org/abs/2308.06528