Results 61 to 70 of about 59,513 (222)

Rényi Entropy and Rényi Divergence in Product MV-Algebras

Entropy, 2018
This article deals with new concepts in a product MV-algebra, namely, with the concepts of Rényi entropy and Rényi divergence. We define the Rényi entropy of order q of a partition in a product MV-algebra and its conditional version ...
Dagmar Markechová, Beloslav Riečan
doaj   +1 more source

Uniqueness and Optimality of Dynamical Extensions of Divergences

PRX Quantum, 2021
We introduce an axiomatic approach for channel divergences and channel relative entropies that is based on three information-theoretic axioms of monotonicity under superchannels, i.e., generalized data processing inequality, additivity under tensor ...
Gilad Gour
doaj   +1 more source

GPS-Spoofing Attack Detection Technology for UAVs Based on Kullback–Leibler Divergence

Drones, 2021
Here, we developed a method for detecting cyber security attacks aimed at spoofing the Global Positioning System (GPS) signal of an Unmanned Aerial Vehicle (UAV).
Elena Basan, Alexandr Basan, Alexey Nekrasov, Colin Fidge, Nikita Sushkin, Olga Peskova   +5 more
doaj   +1 more source

Generalised Mixability, Constant Regret, and Bayesian Updating [PDF]

, 2014
Mixability of a loss is known to characterise when constant regret bounds are achievable in games of prediction with expert advice through the use of Vovk's aggregating algorithm.
Frongillo, Rafael M., Reid, Mark D., Williamson, Robert C.   +2 more
core  

Decoupled Kullback-Leibler Divergence Loss

Advances in Neural Information Processing Systems 37
In this paper, we delve deeper into the Kullback-Leibler (KL) Divergence loss and mathematically prove that it is equivalent to the Decoupled Kullback-Leibler (DKL) Divergence loss that consists of 1) a weighted Mean Square Error (wMSE) loss and 2) a Cross-Entropy loss incorporating soft labels. Thanks to the decomposed formulation of DKL loss, we have
Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi 0001, Bei Yu 0001, Hanwang Zhang   +5 more
openaire   +3 more sources

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Kullback–Leibler divergence research for the simulation of the credit scoring [PDF]

, 2014
В роботі проведено теоретичне дослідження пошуку взаємозв’язку класичної відстані Кульбака-Лейблера та загальноприйнятих статистичних показників, що відображають щонайменше два напрямки практичного застосування у задачах бінарної класифікації, зокрема у
Soloshenko, Oleksandr, Солошенко, О. М.   +1 more
core  

Canonical divergence for measuring classical and quantum complexity

, 2019
A new canonical divergence is put forward for generalizing an information-geometric measure of complexity for both, classical and quantum systems. On the simplex of probability measures it is proved that the new divergence coincides with the Kullback ...
Ay, Nihat, Felice, Domenico, Mancini, Stefano   +2 more
core   +1 more source

Generalized Kullback-Leibler Divergence Loss

CoRR
extension of our NeurIPS paper "Decoupled Kullback-Leibler Divergence Loss".
Jiequan Cui, Beier Zhu, Qingshan Xu 0001, Zhuotao Tian, Xiaojuan Qi 0001, Bei Yu 0001, Hanwang Zhang, Richang Hong   +7 more
openaire   +2 more sources

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source