Generalizing machine learning models from clinical free text
Scientific ReportsTo assess strategies for enhancing the generalizability of healthcare artificial intelligence models, we analyzed the impact of preprocessing approaches applied to medical free text, compared single- versus multiple-institution data models, and evaluated
Balaji Pandian +8 more
doaj +1 more source
A Satellite Incipient Fault Detection Method Based on Decomposed Kullback-Leibler Divergence. [PDF]
Entropy (Basel), 2021 Zhang G, Yang Q, Li G, Leng J, Yan M.
europepmc +1 more source
New estimation methods for diagnostic classification models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source
A Generic Formula and Some Special Cases for the Kullback-Leibler Divergence between Central Multivariate Cauchy Distributions. [PDF]
Entropy (Basel), 2022 Bouhlel N, Rousseau D.
europepmc +1 more source
Robo‐Saber: Generating and Simulating Virtual Reality Players
Computer Graphics Forum, EarlyView.Abstract We present the first motion generation system for playtesting virtual reality (VR) games. Our player model generates VR headset and handheld controller movements from in‐game object arrangements, guided by style reference gameplay examples. We train on the large BOXRR‐23 dataset and apply our framework on the popular VR game Beat Saber.
N. H. Kim +5 more
wiley +1 more source
SPINE: VAE‐driven Counterfactuals for Decision Boundary Maps
Computer Graphics Forum, EarlyView.Abstract As Deep Learning models become increasingly complex, Explainable AI becomes essential for deploying machine learning classifiers. Decision Boundary Mapping (DBM) is a technique for visualizing a classifier's global decision boundary. Despite their relative success, current DBM methods rely on global inverse multidimensional projections that ...
I.M. Bloemen, V. Prasad, F. V. Paulovich
wiley +1 more source
Measuring Synchronization between Spikes and Local Field Potential Based on the Kullback-Leibler Divergence. [PDF]
Comput Intell Neurosci, 2021 Yin L, Zhang G, Yin F.
europepmc +1 more source
Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns
Computer Graphics Forum, EarlyView.Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner +2 more
wiley +1 more source
Fault-Tolerant indoor localization based on speed conscious recurrent neural network using Kullback-Leibler divergence. [PDF]
Peer Peer Netw Appl, 2022 Varma PS, Anand V.
europepmc +1 more source
Characterizations and Kullback-Leibler Divergence of Gompertz Distributions
CoRR, 2014 In this note, we characterize the Gompertz distribution in terms of extreme value distributions and point out that it implicitly models the interplay of two antagonistic growth processes. In addition, we derive a closed form expressions for the Kullback-Leibler divergence between two Gompertz Distributions. Although the latter is rather easy to obtain,
openaire +2 more sources