[论文速览]Rethinking the Truly Unsupervised Image-to-Image Translation[2006.06500] 10:09 [论文简析]Unsupervised Image-to-Image Translation Networks[1703.00848] 09:43 [论文简析]RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer[2011.03148] 11:29 [论文简析]MoCoGAN-HD: A Good Image Ge...
The approach means practically a proactive commitment to excellence in uncertainty conditions. A suitability of the proposed models and methods is demonstrated by examples which cover wide applications of artificial intelligence systems.doi:10.30564/aia.v1i2.1195Andrey Ivanovich Kostogryzov人工智能进展(...
Machine learningsemantic webOWLmetamorphic relationontology reasoningexplainable AIMachine learning has been implemented as a part of many software systems to ... N Chondamrongkul,P Temdee - 《Int.j.softw.eng.knowl.eng》 被引量: 0发表: 2022年 ...
A probabilistic approach for multi-objective clustering using game theorydoi:10.1109/AISP.2012.6313779ABSTRACT Multi-Objective clustering as the most important and fundamental unsupervised learning has been in the gravity of focus of quite a lot numbers of researchers over several ...
To use this approach, we need to write a PPL program so that the distribution over outcomes corresponds to the posterior probability distribution of interest. This is straightforward if we understand how to simulate from the model, and how to insert the constraints given by the observed data. ...
Non-ground queries have been considered as well, in which case the success probability corresponds to the probability that \(q\theta \) is true for some grounding substitution \(\theta \). http://artint.info/code/ailog/ailog2.html. http://sato-www.cs.titech.ac.jp/prism/. included in...
We start by defining an approach to non-monotonic probabilistic reasoning in terms of non-monotonic categorical (true-false) reasoning. We identify a type of non-monotonic probabilistic reasoning, akin to default inheritance, that is commonly found in practice, especially in "evidential" and "...
Combinative-distance-based assessment approach for the evaluation of artificial intelligence cloud platforms using probabilistic linguistic hesitant fuzzy ... With the rapid expansion of artificial intelligence (AI) and machine learning, the evaluation of AI cloud platforms has become a critical research to...
We show the experimental implementation of a protocol for one-time delegation of signature authority in which Alice enables Bob to sign exactly one message in her name. While in general the complexity of programs that can be implemented by our approach is limited by their probabilistic nature, th...
The new method is based on a mathematical approach called sequential Monte Carlo (SMC). SMC algorithms are an established set of algorithms that have been widely used for uncertainty-calibrated AI, by proposing probable explanations of data and tracking how likely or unlikely the proposed explanation...