Results 21 to 30 of about 946,904 (313)
Approximate Bayesian Computation via Classification
J. Mach. Learn. Res., 2021 Approximate Bayesian Computation (ABC) enables statistical inference in simulator-based models whose likelihoods are difficult to calculate but easy to simulate from. ABC constructs a kernel-type approximation to the posterior distribution through an accept/reject mechanism which compares summary statistics of real and simulated data.
Yuexi Wang +2 more
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Robust cross-network node classification via constrained graph mutual information
, 2022 The recent methods for cross-network node classification mainly exploit graph neural networks (GNNs) as feature extractor to learn expressive graph representations across the source and target graphs.
Yang, Shuiqiao +6 more
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Few-Shot Image Classification via Mutual Distillation
Applied Sciences, 2023 Due to their compelling performance and appealing simplicity, metric-based meta-learning approaches are gaining increasing attention for addressing the challenges of few-shot image classification.
Tianshu Zhang +5 more
doaj +1 more source
Glomerulus Classification via an Improved GoogLeNet
IEEE Access, 2020 Glomerulosclerosis is a pathomorphological feature of glomerular lesions. Early detection, accurate judgement and effective prevention of the glomeruli is crucial not only for people with kidney disease, but also for the general population. We proposed a
Xujing Yao +4 more
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CBARS: cluster based classification for activity recognition systems [PDF]
, 2012 Activity recognition focuses on inferring current user activities by leveraging sensory data available on today’s sensor rich environment. Supervised learning has been applied pervasively for activity recognition.
Gaber, Mohamed Medhat +11 more
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POLSAR Image Classification via Clustering-WAE Classification Model
IEEE Access, 2018 Considering the clustering algorithms could explore the label information automatically, this paper proposes a new method in terms of polarimetric synthetic aperture radar (POLSAR) image classification, which named a clustering-wishart-auto-encoder (WAE)
Wen Xie, Ziwei Xie, Feng Zhao, Bo Ren
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New classification criteria for antiphospholipid syndrome — 2023
, 2023 Antiphospholipid syndrome (APS) is an autoimmune disorder characterized by the clinical presence of thrombotic episodes, and — in women — obstetric complications with the laboratory presence of antiphospholipid antibodies in blood.
Musiał, Jacek; II Department of Internal Medicine, Jagielllonian University, Medical College, Kraków, Poland
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Mapping strengths into virtues: The relation of the 24 VIA-strengths to six ubiquitous virtues
Frontiers in Psychology, 2015 The Values-in-Action (VIA)-classification distinguishes six core virtues and 24 strengths. As the assignment of the strengths to the virtues was done on theoretical grounds it still needs empirical verification.
Willibald eRuch, René T Proyer
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improving speech emotion recognition via gender classification [PDF]
مجله مدل سازی در مهندسی, 2017 Speech emotion recognition is a relatively new field of research that could plays an important role in man-machine interaction. In this paper we use from two new spectral features for the automatic recognition of human affective information from speech ...
Ali Harimi, Khashayar Yaghmaie
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Classification of high-grade endometrium carcinomas using molecular and immunohistochemical methods
, 2023 Objectives: As a result of the integration of molecular changes into the histological classification of cancers, which increases diagnostic repeatability, the differences between the groups become more prominent and targeted therapies gain significance ...
Bayramoğlu, Zeynep; Department od Pathology Konya Education and Research Hospital, Konya, Türkiye +6 more
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