Results 11 to 20 of about 1,895,431 (338)
Iterative Amortized Inference [PDF]
arXiv, 2018 Inference models are a key component in scaling variational inference to deep latent variable models, most notably as encoder networks in variational auto-encoders (VAEs).
Mandt, Stephan +2 more
core +3 more sources
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks [PDF]
arXiv, 2018 It is desirable to train convolutional networks (CNNs) to run more efficiently during inference. In many cases however, the computational budget that the system has for inference cannot be known beforehand during training, or the inference budget is ...
Kong, Xiangfei +6 more
core +2 more sources
The impact of wise capital on the balanced performance of small enterprises in Iraq [PDF]
Problems and Perspectives in Management, 2021 This study aims to examine the impact of wise capital on the performance of small enterprises in Iraq. Inference, innovation, social responsibility and independence are considered as wise capital dimensions.
Amel Mahmood Ali AL-Obaidi
doaj +1 more source
Nature Communications, 2023 Epigenetic modifications are dynamic mechanisms involved in the regulation of gene expression. Unlike the DNA sequence, epigenetic patterns vary not only between individuals, but also between different cell types within an individual.
Alex Hawkins-Hooker +5 more
doaj +1 more source
A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions
Scientific Data, 2022 Measurement(s) tumor lesions Technology Type(s) PET/CT Sample Characteristic - Organism Homo ...
Sergios Gatidis +9 more
doaj +1 more source
adabmDCA: adaptive Boltzmann machine learning for biological sequences
BMC Bioinformatics, 2021 Background Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families.
Anna Paola Muntoni +3 more
doaj +1 more source
Journal of Statistics and Data Science Education, 2021 Collaborative work is inherent to being a statistician or data scientist, yet opportunities for training and exposure to real-world scenarios are often only a small part of a student’s academic program.
Julia L. Sharp +2 more
doaj +1 more source
An analysis of hot‐started ADMM for linear MPC
IET Control Theory & Applications, 2021 A convergence analysis of the alternating direction method of multipliers (ADMM) for linear model predictive control (MPC) problems with regularization terms is addressed here.
Mitsuru Toyoda, Mirai Tanaka
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Continuous Reproducibility in GNSS Signal Processing
IEEE Access, 2018 This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper ...
Carles Fernandez-Prades +3 more
doaj +1 more source
Aberrant causal inference and presence of a compensatory mechanism in autism spectrum disorder
eLife, 2022 Autism spectrum disorder (ASD) is characterized by a panoply of social, communicative, and sensory anomalies. As such, a central goal of computational psychiatry is to ascribe the heterogenous phenotypes observed in ASD to a limited set of canonical ...
Jean-Paul Noel +4 more
doaj +1 more source