Results 11 to 20 of about 2,891,657 (252)
Statistical relational learning with soft quantifiers [PDF]
, 2016 Quantification in statistical relational learning (SRL) is either existential or universal, however humans might be more inclined to express knowledge using soft quantifiers, such as ``most'' and ``a few''.
B Huang +16 more
core +2 more sources
Error scaling laws for kernel classification under source and capacity conditions
Machine Learning: Science and Technology, 2023 In this manuscript we consider the problem of kernel classification. While worst-case bounds on the decay rate of the prediction error with the number of samples are known for some classifiers, they often fail to accurately describe the learning curves ...
Hugo Cui +3 more
doaj +1 more source
Journal of Intelligence, 2022 Competency in skills associated with collaborative problem solving (CPS) is critical for many contexts, including school, the workplace, and the military.
Jessica Andrews-Todd +3 more
doaj +1 more source
Learning Arbitrary Statistical Mixtures of Discrete Distributions [PDF]
, 2015 We study the problem of learning from unlabeled samples very general statistical mixture models on large finite sets. Specifically, the model to be learned, $\vartheta$, is a probability distribution over probability distributions $p$, where each such $p$
Anandkumar A. +11 more
core +2 more sources
Seven days in Chile: Impact of the 2011 Puyehue-Cordon Caulle volcanic eruption on GPS ionospheric delay [PDF]
E3S Web of Conferences, 2019 Satellite navigation is a global utility and an essential component of national infrastructure. Disruptions of GNSS PNT services may be considered a threat to society and civilisation in general.
Jukić Oliver +3 more
doaj +1 more source
Selecting Classification Methods for Small Samples of Next-Generation Sequencing Data
Frontiers in Genetics, 2021 Next-generation sequencing has emerged as an essential technology for the quantitative analysis of gene expression. In medical research, RNA sequencing (RNA-seq) data are commonly used to identify which type of disease a patient has.
Jiadi Zhu +5 more
doaj +1 more source
Pair-Copula Constructions for Financial Applications: A Review
Econometrics, 2016 This survey reviews the large and growing literature on the use of pair-copula constructions (PCCs) in financial applications. Using a PCC, multivariate data that exhibit complex patterns of dependence can be modeled using bivariate copulae as simple ...
Kjersti Aas
doaj +1 more source
Learning to Avoid Obstacles With Minimal Intervention Control
Frontiers in Robotics and AI, 2020 Programming by demonstration has received much attention as it offers a general framework which allows robots to efficiently acquire novel motor skills from a human teacher.
Anqing Duan +10 more
doaj +1 more source
APSS - Software support for decision making in statistical process control [PDF]
, 2018 DOI nefunkční (7.1.2019)Purpose: SPC can be defined as the problem solving process incorporating many separate decisions including selection of the control chart based on the verification of the data presumptions.
Noskievičová, Darja
core +1 more source
Machine Learning for Neuroimaging with Scikit-Learn [PDF]
, 2013 Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g. multivariate analysis of activation images or resting-state time series.
Abraham, Alexandre +8 more
core +4 more sources