Results 101 to 110 of about 2,902,055 (272)
Entropy, 2015 Two entropy-based approaches are investigated to study patterns describing differences in time intervals between consecutive heartbeats. The first method explores matrices arising from networks of transitions constructed following events represented by a
Danuta Makowiec +4 more
doaj +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Learning a bayesian network from ordinal data [PDF]
Bayesian networks are graphical models that represent the joint distributionof a set of variables using directed acyclic graphs. When the dependence structure is unknown (or partially known) the network can be learnt from data.
Flaminia Musella
core
Nonparametric Predictive Inference for Ordinal Data and Accuracy of Diagnostic Tests [PDF]
, 2012 This thesis considers Nonparametric Predictive Inference (NPI) for ordinal data and accuracy of diagnostic tests. We introduce NPI for ordinal data, which are categor- ical data with an ordering of the categories.
ALI, FAIZA,FARAG
core
Visualization of Categorical Response Models - from Data Glyphs to Parameter Glyphs [PDF]
, 2012 The multinomial logit model is the most widely used model for nominal multi-category responses. One problem with the model is that many parameters are involved, another that interpretation of parameters is much harder than for linear models because the ...
Tutz, Gerhard, Schauberger, Gunther
core +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Random Walk Null Models for Time Series Data
Entropy, 2017 Permutation entropy has become a standard tool for time series analysis that exploits the temporal and ordinal relationships within data. Motivated by a Kullback–Leibler divergence interpretation of permutation entropy as divergence from white noise, we ...
Daryl DeFord, Katherine Moore
doaj +1 more source
Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Complexity Analysis of Environmental Time Series
EntropySmall, forested catchments are prototypes of terrestrial ecosystems and have been studied in several disciplines of environmental science over several decades.
Holger Lange, Michael Hauhs
doaj +1 more source
Moving average network examples for asymptotically stable periodic orbits of monotone maps
Electronic Journal of Qualitative Theory of Differential Equations, 2018 For a certain type of discrete-time nonlinear consensus dynamics, asymptotically stable periodic orbits are constructed. Based on a simple ordinal pattern assumption, the Frucht graph, two Petersen septets, hypercubes, a technical class of circulant ...
Barna Garay, Judit Várdai
doaj +1 more source