Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Smidl, Vaclav"'
Deep generative models have recently made a remarkable progress in capturing complex probability distributions over graphs. However, they are intractable and thus unable to answer even the most basic probabilistic inference queries without resorting
Externí odkaz:
http://arxiv.org/abs/2408.09451
Daily internet communication relies heavily on tree-structured graphs, embodied by popular data formats such as XML and JSON. However, many recent generative (probabilistic) models utilize neural networks to learn a probability distribution over undi
Externí odkaz:
http://arxiv.org/abs/2408.07394
Detection of malicious behavior in a large network is a challenging problem for machine learning in computer security, since it requires a model with high expressive power and scalable inference. Existing solutions struggle to achieve this feat -- cu
Externí odkaz:
http://arxiv.org/abs/2408.03287
The area under receiver operating characteristics (AUC) is the standard measure for comparison of anomaly detectors. Its advantage is in providing a scalar number that allows a natural ordering and is independent on a threshold, which allows to postp
Externí odkaz:
http://arxiv.org/abs/2305.04754
Traditional methods for unsupervised learning of finite mixture models require to evaluate the likelihood of all components of the mixture. This becomes computationally prohibitive when the number of components is large, as it is, for example, in the
Externí odkaz:
http://arxiv.org/abs/2110.04776
Publikováno v:
In Pattern Recognition July 2024 151
Deep generative models are challenging the classical methods in the field of anomaly detection nowadays. Every new method provides evidence of outperforming its predecessors, often with contradictory results. The objective of this comparison is twofo
Externí odkaz:
http://arxiv.org/abs/2012.06260
Proper traffic simulation of electric vehicles, which draw energy from overhead wires, requires adequate modeling of traction infrastructure. Such vehicles include trains, trams or trolleybuses. Since the requested power demands depend on a traffic s
Externí odkaz:
http://arxiv.org/abs/2010.03430
Accuracy at the top is a special class of binary classification problems where the performance is evaluated only on a small number of relevant (top) samples. Applications include information retrieval systems or processes with manual (expensive) post
Externí odkaz:
http://arxiv.org/abs/2006.12293
Accurate knowledge of temperatures in power semiconductor modules is crucial for proper thermal management of such devices. Precise prediction of temperatures allows to operate the system at the physical limit of the device avoiding undesirable over-
Externí odkaz:
http://arxiv.org/abs/2006.07166