Results 31 to 40 of about 2,525,472 (291)
Correlating variables with different scale types: A new framework based on matrix comparisons
Methods in Ecology and Evolution, 2023 Ecological variables may be expressed on four basic measurement scales (nominal, ordinal, interval or ratio), whereas circular variables and those combining a nominal state with other scale types are also common.
János Podani +2 more
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Learning from Incomplete Data [PDF]
, 1994 Real-world learning tasks often involve high-dimensional data sets with complex patterns of missing features. In this paper we review the problem of learning from incomplete data from two statistical perspectives---the likelihood-based and the ...
Ghahramani, Zoubin, Jordan, Michael I.
core +5 more sources
Mechanics Based Tomography: A Preliminary Feasibility Study
Sensors, 2017 We present a non-destructive approach to sense inclusion objects embedded in a solid medium remotely from force sensors applied to the medium and boundary displacements that could be measured via a digital image correlation system using a set of cameras.
Yue Mei +4 more
doaj +1 more source
Scalable Tensor Factorizations for Incomplete Data
, 2010 The problem of incomplete data - i.e., data with missing or unknown values - in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer vision, communication
Acar +35 more
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A fuzzified BRAIN algorithm for learning DNF from incomplete data [PDF]
, 2011 Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (Uncertainty-managing Batch Relevance-based Artificial INtelligence ...
Rampone, Salvatore, Russo, Ciro
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Hints of incomplete thermalization in RHIC data
, 2005 The large elliptic flow observed in Au-Au collisions at RHIC is often put forward as a compelling evidence for the formation of a strongly-interacting quark-gluon plasma. The main argument is that the measured elliptic flow is as large as the value given
Adams) +17 more
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Map Generation from Large Scale Incomplete and Inaccurate Data Labels
, 2020 Accurately and globally mapping human infrastructure is an important and challenging task with applications in routing, regulation compliance monitoring, and natural disaster response management etc..
Albrecht, Conrad +6 more
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Process reconstruction from incomplete and/or inconsistent data
, 2004 We analyze how an action of a qubit channel (map) can be estimated from the measured data that are incomplete or even inconsistent. That is, we consider situations when measurement statistics is insufficient to determine consistent probability ...
Bu?ek +9 more
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Econometrics, 2019 This article extends the Factor-Augmented Vector Autoregression Model (FAVAR) to mixed-frequency and incomplete panel data. Within the scope of a fully parametric two-step approach, the alternating application of two expectation-maximization algorithms ...
Franz Ramsauer +2 more
doaj +1 more source
Dynamic pattern matcher using incomplete data [PDF]
, 1993 This invention relates generally to pattern matching systems, and more particularly to a method for dynamically adapting the system to enhance the effectiveness of a pattern match. Apparatus and methods for calculating the similarity between patterns are
Johnson, Gordon G., Wang, Lui
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