Results 1 to 10 of about 2,253,559 (287)
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
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
Neural Computation, 2021 Active inference offers a first principle account of sentient behavior, from which special and important cases—for example, reinforcement learning, active learning, Bayes optimal inference, Bayes optimal design—can be derived. Active inference finesses the exploitation-exploration dilemma in relation to prior preferences by placing information gain on
Friston, K +4 more
openaire +4 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
Proceedings of the National Academy of Sciences, 2020 Significance Most statistical methods rely on certain mathematical conditions, known as regularity assumptions, to ensure their validity. Without these conditions, statistical quantities like P values and confidence intervals might not be valid.
Larry Wasserman +2 more
openaire +4 more sources
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 Broad-Coverage Challenge Corpus for Sentence Understanding through Inference [PDF]
North American Chapter of the Association for Computational Linguistics, 2017 This paper introduces the Multi-Genre Natural Language Inference (MultiNLI) corpus, a dataset designed for use in the development and evaluation of machine learning models for sentence understanding.
Adina Williams +2 more
semanticscholar +1 more source
The Quarterly Journal of Economics, 2018 Abstract Policy makers, firms, and researchers often choose among multiple options based on estimates. Sampling error in the estimates used to guide choice leads to a winner’s curse, since we are more likely to select a given option precisely when we overestimate its effectiveness.
Toru Kitagawa +2 more
openaire +5 more sources
Variational Inference: A Review for Statisticians [PDF]
arXiv.org, 2016 One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem is especially important in Bayesian statistics, which frames all inference about unknown quantities as a calculation involving the ...
D. Blei, A. Kucukelbir, Jon D. McAuliffe
semanticscholar +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