Results 101 to 110 of about 59,513 (222)

The fuzzy Kullback-Leibler divergence for estimating parameters of the probability distribution in fuzzy data: an application to classifying Vietnamese Herb Leaves. [PDF]

Sci Rep, 2023
Le H, Sang VNT, Lam Thuy LN, Bao PT.
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, M. J. Liu, J. Lehtinen, P. Hämäläinen, J. F. O'Brien, X. B. Peng   +5 more
wiley   +1 more source

Affine Calculus for Constrained Minima of the Kullback–Leibler Divergence

Stats
The 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, Kiêu, Kiên   +1 more
core   +1 more source

Contrasting population genetic structures of congeneric coastal flounders associated with different early life histories

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, Hiroyuki Togashi, Yutaka Kurita, Satoshi Katayama, Yoshiaki Akaba, Mitsuhiro Ishii, Tatsuya Isshiki, Minoru Ikeda   +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

Bregman–Hausdorff Divergence: Strengthening the Connections Between Computational Geometry and Machine Learning

Machine Learning and Knowledge Extraction
The 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, Hana Dal Poz Kouřimská, Hubert Wagner   +2 more
doaj   +1 more source