Results 101 to 110 of about 389,136 (225)
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
Affine Calculus for Constrained Minima of the Kullback–Leibler Divergence
StatsThe non-parametric version of Amari’s dually affine Information Geometry provides a practical calculus to perform computations of interest in statistical machine learning.
Giovanni Pistone
doaj +1 more source
Pseudolikelihood inference for Gibbsian T-tessellations ... and point processes
, 2015 Recently a new class of planar tessellations, named T-tessellations, was introduced. Splits, merges and a third local modification named flip where shown to be sufficient for exploring the space of T-tessellations.
Adamczyk-Chauvat, Katarzyna +1 more
core +1 more source
Journal of Fish Biology, EarlyView.Abstract Marine fish species are likely to exhibit little genetic differentiation among populations due to their high dispersal potential during early life stages and migratory nature. However, recent studies have increasingly reported intraspecific genetic differentiation resulting from species‐specific ecological traits, environmental factors, and ...
Yuki Yamamoto +7 more
wiley +1 more source
Correction : Random-forest model for drug-target interaction prediction via Kullback-Leibler divergence. [PDF]
J Cheminform, 2022 Ahn S, Lee SE, Kim MH.
europepmc +1 more source
Mixing It Up: Inflation at Risk
Journal of Money, Credit and Banking, EarlyView.Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley +1 more source
Using Feature Engineering and Principal Component Analysis for Monitoring Spindle Speed Change Based on Kullback-Leibler Divergence with a Gaussian Mixture Model. [PDF]
Sensors (Basel), 2023 Huang YC, Hou CC.
europepmc +1 more source
Density‐Valued ARMA Models by Spline Mixtures
Journal of Time Series Analysis, EarlyView.ABSTRACT This paper proposes a novel framework for modeling time series of probability density functions by extending autoregressive moving average (ARMA) models to density‐valued data. The method is based on a transformation approach, wherein each density function on a compact domain [0,1]d$$ {\left[0,1\right]}^d $$ is approximated by a B‐spline ...
Yasumasa Matsuda, Rei Iwafuchi
wiley +1 more source
Machine Learning and Knowledge ExtractionThe purpose of this paper is twofold. On a technical side, we propose an extension of the Hausdorff distance from metric spaces to spaces equipped with asymmetric distance measures.
Tuyen Pham +2 more
doaj +1 more source
Empirical‐Process Limit Theory and Filter Approximation Bounds for Score‐Driven Time Series Models
Journal of Time Series Analysis, EarlyView.ABSTRACT This article examines the filtering and approximation‐theoretic properties of score‐driven time series models. Under specific Lipschitz‐type and tail conditions, new results are derived, leading to maximal and deviation inequalities for the filtering approximation error using empirical process theory.
Enzo D'Innocenzo
wiley +1 more source