Results 81 to 90 of about 5,928 (266)

Multi-State Models for Panel Data: The msm Package for R [PDF]

Panel data are observations of a continuous-time process at arbitrary times, for example, visits to a hospital to diagnose disease status. Multi-state models for such data are generally based on the Markov assumption.
Christopher Jackson
core  

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Semi-Markov decision processes with partial observation

, 2004
We study a semi-Markov decision process on a Borel state space where the state of the system is not known to the decision maker but it takes decisions based on an observation process. We transform this into an equivalent problem with complete information.
Ghosh, Mrinal K, Goswami, Anindya
core  

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites

Wildlife Biology, EarlyView.
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer, Justin A. Rectenwald, William B. Lewis, Michael A. Hazelbaker, Alexander L. Jackson, Holly K. Lott, Geoff Beane, D. Clay Sisson, Melanie R. Kunkel, Nicole M. Nemeth, James A. Martin   +10 more
wiley   +1 more source

Life‐history stages and behavior influence demographic classification of moose captured on remote cameras

Wildlife Biology, EarlyView.
Obtaining accurate information on demographic states, such as the age and sex classes of animals, is an important step for monitoring wildlife populations. Traditionally, demographic data are collected from harvest, aerial surveys and telemetry studies.
Alexej P. K. Sirén, Zalmai Moheb, Emily Carlson, Adam Beiner, Michael Pfeister, Ian Doherty, Bruno López Del Hierro, Claudio López Del Hierro, Isabella Hanley, Helena Firlings, Ela Shevket, Arielle Lifton‐Jochnowitz, Lee Kantar, Scott R. McLellan, Carter Barthelman, Tammy L. Wilson   +15 more
wiley   +1 more source

Perturbation theory for semi-Markov control problems [PDF]

, 1991
In earlier work, the authors considered the perturbation of systems undergoing Markov processes in which the times between two consecutive decision time points were equidistant.
Filar, Jerzy A, Abbad, Mohammed
core  

INTERSPEECH 2007 Hierarchical Dialogue Optimization Using Semi-Markov Decision Processes

, 2008
This paper addresses the problem of dialogue optimization on large search spaces. For such a purpose, in this paper we propose to learn dialogue strategies using multiple Semi-Markov Decision Processes and hierarchical reinforcement learning.
Oliver Lemon, Steve Renals, Heriberto Cuayáhuitl, Hiroshi Shimodaira   +3 more
core  

Nested Selves: Self‐Organization and Shared Markov Blankets in Prenatal Development in Humans

Topics in Cognitive Science, EarlyView., 2023
Abstract The immune system is a central component of organismic function in humans. This paper addresses self‐organization of biological systems in relation to—and nested within—other biological systems in pregnancy. Pregnancy constitutes a fundamental state for human embodiment and a key step in the evolution and conservation of our species. While not
Anna Ciaunica, Michael Levin, Fernando E. Rosas, Karl Friston   +3 more
wiley   +1 more source

Alternative seed trait strategies are linked to a trade‐off between spatial and temporal dispersal

Functional Ecology, EarlyView.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Seed dispersal allows plants to seek favourable conditions or spread the risk of unfavourable conditions through space and time. While theory predicts a trade‐off between spatial and temporal dispersal, empirical tests have been stymied by the difficulty of measuring ...
Marina L. LaForgia, Susan P. Harrison, Michal J. Borton, Pierre‐Olivier Cheptou, Lauren M. Hallett, Jennifer R. Gremer   +5 more
wiley   +1 more source