Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Nurminen, Jukka"'
Designing a useful feature map for a quantum kernel is a critical task when attempting to achieve an advantage over classical machine learning models. The choice of circuit architecture, i.e. how feature-dependent gates should be interwoven with othe
Externí odkaz:
http://arxiv.org/abs/2409.13147
After a machine learning model has been deployed into production, its predictive performance needs to be monitored. Ideally, such monitoring can be carried out by comparing the model's predictions against ground truth labels. For this to be possible,
Externí odkaz:
http://arxiv.org/abs/2407.08649
Despite the increasing interest in quantum computing, the aspect of development to achieve cost-effective and reliable quantum software applications has been slow. One barrier is the software engineering of quantum programs, which can be approached f
Externí odkaz:
http://arxiv.org/abs/2308.01141
Publikováno v:
In Array September 2024 23
Machine learning (ML) provides us with numerous opportunities, allowing ML systems to adapt to new situations and contexts. At the same time, this adaptability raises uncertainties concerning the run-time product quality or dependability, such as rel
Externí odkaz:
http://arxiv.org/abs/2109.07989
Context: Artificial intelligence (AI) has made its way into everyday activities, particularly through new techniques such as machine learning (ML). These techniques are implementable with little domain knowledge. This, combined with the difficulty of
Externí odkaz:
http://arxiv.org/abs/2107.12190
As a part of the digital transformation, we interact with more and more intelligent gadgets. Today, these gadgets are often mobile devices, but in the advent of smart cities, more and more infrastructure---such as traffic and buildings---in our surro
Externí odkaz:
http://arxiv.org/abs/2007.11347
Publikováno v:
EPTCS 319, 2020, pp. 103-116
Automated machine learning (AutoML) systems aim at finding the best machine learning (ML) pipeline that automatically matches the task and data at hand. We investigate the robustness of machine learning pipelines generated with three AutoML systems,
Externí odkaz:
http://arxiv.org/abs/2005.02649
Publikováno v:
In Array September 2022 15
Autor:
Abdurachmanov, David, Elmer, Peter, Eulisse, Giulio, Knight, Robert, Niemi, Tapio, Nurminen, Jukka K., Nyback, Filip, Pestana, Goncalo, Ou, Zhonghong, Khan, Kashif
The scale of scientific High Performance Computing (HPC) and High Throughput Computing (HTC) has increased significantly in recent years, and is becoming sensitive to total energy use and cost. Energy-efficiency has thus become an important concern i
Externí odkaz:
http://arxiv.org/abs/1410.3440