A feedback information-theoretic transmission scheme (FITTS) for modeling trajectory variability in aimed movements
Sign Up to like & getrecommendations! Published in 2020 at "Biological cybernetics"
DOI: 10.1007/s00422-020-00853-7
Abstract: Trajectories in human aimed movements are inherently variable. Using the concept of positional variance profiles, such trajectories are shown to be decomposable into two phases: In a first phase, the variance of the limb position… read more here.
Keywords: phase; fitts; information theoretic; aimed movements ... See more keywords
Information-theoretic feature selection with discrete $$k$$k-median clustering
Sign Up to like & getrecommendations! Published in 2018 at "Annals of Operations Research"
DOI: 10.1007/s10479-014-1589-3
Abstract: We propose a novel computational framework that integrates information-theoretic feature selection with discrete $$k$$k-median clustering (DKM). DKM is a domain-independent clustering algorithm which requires a pairwise distance matrix between samples that can be defined arbitrarily… read more here.
Keywords: information; theoretic feature; feature selection; feature ... See more keywords
Interactive visual data exploration with subjective feedback: an information-theoretic approach
Sign Up to like & getrecommendations! Published in 2020 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-019-00655-x
Abstract: Visual exploration of high-dimensional real-valued datasets is a fundamental task in exploratory data analysis (EDA). Existing projection methods for data visualization use predefined criteria to choose the representation of data. There is a lack of… read more here.
Keywords: information; information theoretic; knowledge; exploration ... See more keywords
The Approach Towards Equilibrium in a Reversible Ising Dynamics Model: An Information-Theoretic Analysis Based on an Exact Solution
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Statistical Physics"
DOI: 10.1007/s10955-017-1833-8
Abstract: We study the approach towards equilibrium in a dynamic Ising model, the Q2R cellular automaton, with microscopic reversibility and conserved energy for an infinite one-dimensional system. Starting from a low-entropy state with positive magnetisation, we… read more here.
Keywords: approach towards; information; entropy density; information theoretic ... See more keywords
Information-theoretic regularization for learning global features by sequential VAE
Sign Up to like & getrecommendations! Published in 2021 at "Machine Learning"
DOI: 10.1007/s10994-021-06032-4
Abstract: Sequential variational autoencoders (VAEs) with a global latent variable z have been studied for disentangling the global features of data, which is useful for several downstream tasks. To further assist the sequential VAEs in obtaining… read more here.
Keywords: information; sequential vaes; global features; information theoretic ... See more keywords
An information-theoretic approach to study fluid–structure interactions
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Fluid Mechanics"
DOI: 10.1017/jfm.2018.369
Abstract: The question of causality is pervasive to fluid–structure interactions, where it finds its most alluring instance in the study of fish swimming in coordination. How and why fish align their bodies, synchronize their motion, and… read more here.
Keywords: fluid structure; information theoretic; structure interactions; approach ... See more keywords
Information-theoretic characterization of eye-tracking signals with relation to cognitive tasks.
Sign Up to like & getrecommendations! Published in 2021 at "Chaos"
DOI: 10.1063/5.0042104
Abstract: Eye tracking is being increasingly used as a more powerful diagnosis instrument when compared with traditional pen-and-paper tests in psychopedagogy and psychology. This technology may significantly improve neurocognitive assessments in gathering indirect latent information about… read more here.
Keywords: information; eye tracking; information theoretic; cognitive tasks ... See more keywords
Information Theoretic Approaches to Principal Component Selection
Sign Up to like & getrecommendations! Published in 2018 at "American Journal of Mathematical and Management Sciences"
DOI: 10.1080/01966324.2017.1411298
Abstract: SYNOPTIC ABSTRACT Component selection in principal component analysis is the main step for dimension reduction and working further with extracted factors. A range of component selection methods include hypothesis testing and subjective judgement of graphical… read more here.
Keywords: information theoretic; principal component; theoretic approaches; selection ... See more keywords
Observational entropy, coarse-grained states, and the Petz recovery map: information-theoretic properties and bounds
Sign Up to like & getrecommendations! Published in 2022 at "New Journal of Physics"
DOI: 10.1088/1367-2630/accd11
Abstract: Observational entropy provides a general notion of quantum entropy that appropriately interpolates between Boltzmann’s and Gibbs’ entropies, and has recently been argued to provide a useful measure of out-of-equilibrium thermodynamic entropy. Here we study the… read more here.
Keywords: entropy; observational entropy; coarse grained; information theoretic ... See more keywords
Distinguishing prognostic and predictive biomarkers: an information theoretic approach
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DOI: 10.1093/bioinformatics/bty515
Abstract: Fig. 2. When biomarkers have both prognostic/predictive strength (M-1) VT achieves higher TPR, otherwise (M-2) the gains in TPR are vanishing. In terms of FNRProg:, VT always has very high error rate on selecting solely… read more here.
Keywords: information theoretic; biomarkers information; theoretic approach; predictive biomarkers ... See more keywords
Phase boundary location with information-theoretic entropy in tensor renormalization group flows
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review B"
DOI: 10.1103/physrevb.100.094430
Abstract: We present a simple and efficient tensor network method to accurately locate phase boundaries of two-dimensional classical lattice models. The method utilizes only the information-theoretic (von Neumann) entropy of quantities that automatically arise along tensor… read more here.
Keywords: entropy; renormalization group; tensor renormalization; information theoretic ... See more keywords