Results 141 to 150 of about 11,282 (244)
Loss Behavior in Supervised Learning With Entangled States
Advanced Quantum Technologies, Volume 9, Issue 4, April 2026.Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl +4 more
wiley +1 more source
Statistics in Medicine, Volume 45, Issue 8-9, April 2026.ABSTRACT Survival analysis is an important area of medical research, yet existing models often struggle to balance simplicity with flexibility. Simple models require minimal adjustments but come with strong assumptions, while more flexible models require significant input and tuning from researchers.
Peter Knaus +3 more
wiley +1 more source
Gaussian Approximations of Small Noise Diffusions in Kullback-Leibler\n Divergence [PDF]
, 2016 Daniel Sanz-Alonso, Andrew M. Stuart
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Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Lithological mapping is essential for the exploration of critical minerals supporting energy transition and national defense. Although recent advancements have incorporated multi‐source data sets and leveraged machine learning and deep learning (DL) methods, lithological mapping continues to face significant challenges, such as data imbalance,
Liang Ding +3 more
wiley +1 more source
A Property of the Kullback--Leibler Divergence for Location-scale Models [PDF]
, 2016 Cristiano Villa
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Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract The variational autoencoder (VAE), a deep generative model, can extract a good feature representation for clustering from complex data; however, the use of this algorithm in the geophysical fluid circulation has been limited. The sample size for a geophysical phenomenon is generally small because of a large dimensional size, especially for ...
Kunihiro Aoki +7 more
wiley +1 more source
Identifying critical state of complex diseases by single-sample Kullback-Leibler divergence. [PDF]
BMC Genomics, 2020 Zhong J, Liu R, Chen P.
europepmc +1 more source
Artificial intelligence streamlines scientific discovery of drug–target interactions
British Journal of Pharmacology, Volume 183, Issue 8, Page 1673-1690, April 2026.Abstract Drug discovery is a complicated process through which new therapeutics are identified to prevent and treat specific diseases. Identification of drug–target interactions (DTIs) stands as a pivotal aspect within the realm of drug discovery and development. The traditional process of drug discovery, especially identification of DTIs, is marked by
Yuxin Yang, Feixiong Cheng
wiley +1 more source
A speech enhancement algorithm based on a non-negative hidden Markov model and Kullback-Leibler divergence [PDF]
, 2022 Yang Xiang +4 more
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Bi‐Directional Recurrent Attentional Topic Model Using Flexible Priors
Computational Intelligence, Volume 42, Issue 2, April 2026.ABSTRACT This article presents extensions to the Bi‐Directional Recurrent Attentional Topic Model (bi‐RATM) framework, a Dirichlet‐based model used in text document analysis. The allocation of topics to a sentence in a document is determined by its content as well as the topics of its neighboring sentences, and the weighting is typically variable. Many
Pantea Koochemeshkian, Nizar Bouguila
wiley +1 more source