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Results 181 to 190 of about 6,497 (242)

New estimation methods for diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract This paper introduces a new class of estimators for cognitive diagnosis models (CDMs) based on the Cressie–Read family of ϕ$$ \phi $$‐divergences. Focusing on the loglinear CDM (LCDM), for which joint maximum likelihood estimation (JMLE) has been shown to be consistent, we propose a joint minimum divergence estimation (JMDE) framework.
Elena Castilla
wiley +1 more source

Auto-arrange buildings in urban planning with DQN. [PDF]

Sci Rep
Lin P, Shi G, Hu C, Zhang J, Huang Y.
europepmc +1 more source

Review of cognitive diagnostic models (CDMs): Recent methodological advancements for addressing practical challenges

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Cognitive diagnostic models (CDMs) have become essential tools for providing fine‐grained information about individuals' mastery of cognitive skills. While prior reviews have emphasized statistical foundations and deep learning‐based developments, this article focuses on recent methodological innovations designed to address persistent ...
Chun Wang, Yale Quan, David Arthur
wiley +1 more source

DRL-Based Beam Split Alleviation for Movable Antenna-Enabled Near-Field Wideband Communications. [PDF]

Sensors (Basel)
Zhang T, Jiang R, Dai H, Zhou C, Xu Y.
europepmc +1 more source

Towards an ‘absolute’ timing of biostratigraphic and environmental phases from the Saalian late glacial to the Weichselian pleniglacial in central Europe—Insights from a lacustrine succession in Lichtenberg, northern Germany

Boreas, EarlyView.
Palynological records are central to the biostratigraphic subdivision of the Late Pleistocene in central Europe. Yet many interglacial and interstadial phases—such as the Eemian, Brörup and Odderade—remain only poorly constrained in time due to limited numerical dating.
Michael Hein +19 more
wiley +1 more source

Reinforcement Learning for Secure Semantic LEO Satellite Networks: Joint Fidelity-Secrecy Power Allocation. [PDF]

Sensors (Basel)
Zhou F, Zhu X.
europepmc +1 more source

Decoding functional specialization in G protein‐coupled receptors (GPCRs) through evolution‐guided residue profiling

British Journal of Pharmacology, EarlyView.
Background and Purpose G protein‐coupled receptors (GPCRs) are integral membrane proteins that mediate physiological processes by enabling cells to detect and respond to diverse stimuli. Although many subfamily‐specific functional hotspots have been described, the family‐wide determinants of common and subfamily‐specific functions remain incomplete ...
Berkay Selçuk +3 more
wiley +1 more source

Dynamic pricing modeling and inventory management in omnichannel retail using Quantum Decision Theory and reinforcement learning. [PDF]

PLoS One
Roosta S, Sadjadi SJ, Makui A.
europepmc +1 more source

Advancing Global Oral Health Research Through Community and Academic Partnerships: An Overview of the CORE Programme

Community Dentistry and Oral Epidemiology, EarlyView.
ABSTRACT Background The increasing burden of oral diseases in low‐ and middle‐income countries (LMICs) and limited access to and affordability of oral care disproportionately impact disadvantaged groups. Oral health research has been dominated by professional academic perspectives with limited contribution from the communities involved. The aim of this
Carol C. Guarnizo‐Herreño +9 more
wiley +1 more source

Secure Cooperative Communications in 6G Networks: A Constrained Hierarchical Reinforcement Learning Framework with Hybrid Action Space. [PDF]

Entropy (Basel)
Tian X, Wang Z, Ni Y.
europepmc +1 more source

reinforcement learning
markov decision process
mathematics

policy improvement
biology general
mathematics - probability

inverse reinforcement learning
decision-making
markov and semi-markov decision processes