Results 111 to 120 of about 6,879 (215)
A quantum Jensen-Shannon graph kernel using discrete-time quantum walks [PDF]
In this paper, we develop a new graph kernel by using the quantum Jensen-Shannon divergence and the discrete-time quantum walk. To this end, we commence by performing a discrete-time quantum walk to compute a density matrix over each graph being compared.
Ren, Peng +9 more
core +1 more source
Entropy Analysis of Soccer Dynamics
This paper adopts the information and fractional calculus tools for studying the dynamics of a national soccer league. A soccer league season is treated as a complex system (CS) with a state observable at discrete time instants, that is, at the time of ...
António M. Lopes +1 more
doaj +1 more source
A Skew Logistic Distribution for Modelling COVID-19 Waves and Its Evaluation Using the Empirical Survival Jensen-Shannon Divergence. [PDF]
Levene M.
europepmc +1 more source
A Note on Bound for Jensen-Shannon Divergence by Jeffreys [PDF]
The Jensen-Shannon divergence JS(p;q) is a similarity measure between two probability distributions p and q. It is presently used in varied disciplines. In this presentation, we provide a lower bound on the Jensen-Shannon divergence by the Jeffrery's J-divergence when p_i≥q_i is satisfied.
openaire +1 more source
Diverse Microbial Communities Assemble on Both Recalcitrant and Labile Carbon Sources
Taxonomically and functionally distinct communities assemble on cellulose and its monomer, glucose. Although single carbon sources were provided, high and comparable diversity was maintained in both environments, supported by extensive cross‐feeding and scavenging. However, glucose supported higher biomass than cellulose and selected generalists, while
Kaumudi H. Prabhakara +4 more
wiley +1 more source
Three‐Dimensional Object Perception Can Emerge From Predictive Learning
ABSTRACT How do infants develop the ability to perceive objects in a 3D world? The theory of core knowledge suggests infants employ a few principles, such as cohesion, continuity, rigidity, and contact, to guide inference of objects. However, it is challenging to answer how object perception can be learned with similar constraints faced by infants and ...
John Day +4 more
wiley +1 more source
Discover Class‐Based Feature Distribution by Encoding Discrete Data for Classification
ABSTRACT The self‐organisation map is an unsupervised learning technique that discovers patterns and relationships in data without requiring labelled training data. Inspired by the self‐organisation map, Self‐Organised Granular encoding has been shown to be effective for generating reliable discrete data clustering results as it is a data encoding ...
Qiang Fu +3 more
wiley +1 more source
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels
Prior works have found it beneficial to combine provably noise-robust loss functions e.g. mean absolute error (MAE) with standard categorical loss function e.g. crossentropy (CE) to improve their learnability.
Englesson, Erik, Azizpour, Hossein
core
ABSTRACT Aim To determine the effect of probiotic lozenges containing Lacticaseibacillus rhamnosus PB01, Latilactobacillus curvatus EB10 and xylitol after non‐surgical periodontal treatment (NSPT) on changes in microbial composition. The secondary aims were to assess the clinical and immunological impact of probiotic consumption.
Christine Marie Lundtorp‐Olsen +9 more
wiley +1 more source

