Results 81 to 90 of about 810,691 (251)
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 +4 more
wiley +1 more source
Markov Chains and Spectral Clustering
, 2010 Part 3: ModelingInternational audienceThe importance of Markov chains in modeling diverse systems, including biological, physical, social and economic systems, has long been known and is well documented.
Liu, Ning, Stewart, William, J.
core +2 more sources
Career-path analysis using drifting Markov models (DMM) and self-organizing maps [PDF]
Analyzing school-to-work transitions is an important challenge for the specialists of the labor-market. The aim of this paper is to study the insertion of graduates and to identify the main career-paths typologies.
Patrick Rousset +2 more
core
Identifying Prototypical Components in Behaviour Using Clustering Algorithms [PDF]
, 2010 Braun E, Geurten B, Egelhaaf M. Identifying Prototypical Components in Behaviour Using Clustering Algorithms. PLOS ONE.
Geurten Bart +8 more
core +2 more sources
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
Advanced Intelligent Systems, EarlyView.This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Spectral Clustering for Graphs and Markov Chains
, 2010 Spectral graph partitioning based on spectral theory has become a popular clustering method over the last few years. The starting point is the work of Fiedler who shows that an eigenvector of the Laplacian matrix of an undirected graph (symmetric system)
Liu, Ning
core
American Journal of Botany, EarlyView.Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
Markov-Switching Model Selection Using Kullback-Leibler Divergence [PDF]
In Markov-switching regression models, we use Kullback-Leibler (KL) divergence between the true and candidate models to select the number of states and variables simultaneously.
Tsai, Chih-Ling +2 more
core
Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering [PDF]
, 2009 Let Q be a given n×n square symmetric matrix of nonnegative elements between 0 and 1, similarities. Fuzzy clustering results in fuzzy assignment of individuals to K clusters.
Braak, C.J.F., ter +3 more
core +1 more source
Evolutionary morphology of the haplorhine hamate
The Anatomical Record, EarlyView.Abstract Primates adopt a variety of hand postures during an impressive diversity of locomotor and manipulative behaviors. Morphological research has found that elements of the hand skeleton, such as the hamate, hold key information for inferring hand use and locomotor kinematics in extinct species.
Laura E. Hunter +4 more
wiley +1 more source