Results 71 to 80 of about 123,391 (326)

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

Advanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang, Yongqing Zhang, Xinyu Deng, Hyeon Jeong Lee, Delong Zhang   +4 more
wiley   +1 more source

Note on the prime divisors of Farey fractions

Lietuvos Matematikos Rinkinys, 2011
Let P1(n) ≥ P2(n) ≥· · · be the prime divisors of a natural number n arranged in the non-increasing order. The limit distribution of the sequences (log Pi(mn)/ log(mn), i ≥ 1) for m/n ꞓ 2 (lambda1; lambda2), n ≤ x, are considered. It is proved that under
Vytautas Kazakevičius, Vilius Stakėnas
doaj   +1 more source

Robust Inference of Trees

, 2005
This paper is concerned with the reliable inference of optimal tree-approximations to the dependency structure of an unknown distribution generating data.
C.K. Chow, D.H. Wolpert, G.D. Kleiter, H. Jeffreys, H. Papadimitriou, H. Yaman, I.D. Aron, J. Pearl, J.-M. Bernard, J.B. Kruskal Jr., J.B.S. Haldane, M. Hutter, M. Ramoni, M. Zaffalon, M.G. Kendall, Marco Zaffalon, Marcus Hutter, N. Friedman, P. Walley, P. Walley, S. Kullback, W. Perks   +21 more
core   +1 more source

Matrix variate Kummer‐Dirichlet distributions [PDF]

Journal of Applied Mathematics, 2001
The multivariate Kummer‐Beta and multivariate Kummer‐Gamma families of distributions have been proposed and studied recently by Ng and Kotz. These distributions are extensions of Kummer‐Beta and Kummer‐Gamma distributions. In this article we propose and study matrix variate generalizations of multivariate Kummer‐Beta and multivariate Kummer‐Gamma ...
Arjun K. Gupta, Liliam Cardeño, Daya K. Nagar   +2 more
openaire   +4 more sources

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

Bayesian Entropy Estimation for Countable Discrete Distributions [PDF]

, 2014
We consider the problem of estimating Shannon's entropy $H$ from discrete data, in cases where the number of possible symbols is unknown or even countably infinite. The Pitman-Yor process, a generalization of Dirichlet process, provides a tractable prior
Archer, Evan, Park, Il Memming, Pillow, Jonathan   +2 more
core  

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, EarlyView.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING [PDF]

Proceedings on Engineering Sciences
The ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content.
Navdeep Bohra , Deepti Deshwal , Ashish Kumari , Amita Yadav , Anamika Rana   +4 more
doaj   +1 more source

Universal behaviour of 3D loop soup models

, 2017
These notes describe several loop soup models and their {\it universal behaviour} in dimensions greater or equal to 3. These loop models represent certain classical or quantum statistical mechanical systems.
Ueltschi, Daniel
core   +1 more source

Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network

IET Networks, EarlyView., 2022
Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley   +1 more source