Results 221 to 230 of about 251,998 (281)
A link between increased temperature and avian body condition in a logged tropical forest
Conservation Biology, EarlyView.Abstract The combined effects of anthropogenic disturbances, such as logging and climate change, remain poorly understood; yet, they are the main threats to tropical biodiversity. Most tropical African countries lack long‐term climate data, so climate impacts on biodiversity cannot be assessed.
Moreen Uwimbabazi +7 more
wiley +1 more source
Non-Markov Nonparametric Estimation of Complex Multistate Outcomes After Hematopoietic Stem Cell Transplantation. [PDF]
Biom JVilsmeier J +3 more
europepmc +1 more source
Conservation Biology, EarlyView.Abstract The design of experiments to investigate the combined effects of multiple stressors requires exposing target organisms to multiple combinations of stressor doses. Concurrent manipulation of stressors is often infeasible with wildlife, but long‐lasting health effects allow individual health to be used as an integrator of prior stressor exposure.
Enrico Pirotta +24 more
wiley +1 more source
Comparative Evaluation of Bandit-Style Heuristic Policies for Moving Target Detection in a Linear Grid Environment. [PDF]
Sensors (Basel)Kang H, Ahn M, Seo Y.
europepmc +1 more source
Comment on: Intravenous vs nonintravenous sedation for cataract surgery: systematic review and meta-analysis. [PDF]
J Cataract Refract SurgBarbosa LM +4 more
europepmc +1 more source
An Explainable Markov Chain-Machine Learning Sequential-Aware Anomaly Detection Framework for Industrial IoT Systems Based on OPC UA. [PDF]
Sensors (Basel)Ghazi Y, Tabaa M, Ennaji M, Zaz G.
europepmc +1 more source
Quantum speedup for nonreversible Markov chains. [PDF]
Nat CommunClaudon B, Piquemal JP, Monmarché P.
europepmc +1 more source
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2010
Based on the modelling discussions of Chapter 5, the issues of computational and storage complexity for large problems have motivated an interest in sparse representations, and also in those models which allow some sort of decoupling, or domain decomposition, to allow a hierarchical approach.
Rue, H, Held, L
+4 more sources
Based on the modelling discussions of Chapter 5, the issues of computational and storage complexity for large problems have motivated an interest in sparse representations, and also in those models which allow some sort of decoupling, or domain decomposition, to allow a hierarchical approach.
Rue, H, Held, L
+4 more sources
2008 International Machine Vision and Image Processing Conference, 2008
In this talk the author will outline some of the recent work undertaken by the Oxford Brookes Vision Group, a common theme underlying much of the research is to cast vision problems in terms of combinatorial optimization which provides a rich a deep theory for understanding them, with many new and exciting results.
openaire +2 more sources
In this talk the author will outline some of the recent work undertaken by the Oxford Brookes Vision Group, a common theme underlying much of the research is to cast vision problems in terms of combinatorial optimization which provides a rich a deep theory for understanding them, with many new and exciting results.
openaire +2 more sources
Markov random fields and gibbs random fields
Israel Journal of Mathematics, 1973Spitzer has shown that every Markov random field (MRF) is a Gibbs random field (GRF) and vice versa when (i) both are translation invariant, (ii) the MRF is of first order, and (iii) the GRF is defined by a binary, nearest neighbor potential. In both cases, the field (iv) is defined onZ v, and (v) at anyxeZv, takes on one of two states.
openaire +2 more sources