Results 41 to 50 of about 1,530,540 (307)
Video Compressive Sensing Reconstruction Algorithm Based on 3D Tree Structure and Bayesian Model [PDF]
In view of the traditional underwater video coding requiring higher underwater acoustic channel and the scenes of underwater video with uneven illumination being complex and not fixed,this paper presents a reconstruction algorithm with Three Dimension(3D)
ZHUANG Yanbin,WANG Zunzhi,XIAO Xianjian,ZHANG Xuewu
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A Bayesian treatment of latent directed graph structure for non-iid data is provided where each child datum is sampled with a directed conditional dependence on a single unknown parent datum. The latent graph structure is assumed to lie in the family of directed out-tree graphs which leads to efficient Bayesian inference.
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Implementing and testing Bayesian and maximum-likelihood supertree methods in phylogenetics [PDF]
Since their advent, supertrees have been increasingly used in large-scale evolutionary studies requiring a phylogenetic framework and substantial efforts have been devoted to developing a wide variety of supertree methods (SMs).
Wasiu A. Akanni +4 more
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Bayesian Network Inference Using Marginal Trees [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cory J. Butz +2 more
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Tractable Bayesian learning of tree belief networks [PDF]
Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)
Marina Meila, Tommi S. Jaakkola
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The concept of critical loads is used in the framework of the Convention on Long-range Transboundary Air Pollution (UNECE) to define thresholds below which no damaging effects on habitats occur based on the latest scientific knowledge.
Tobias Roth +3 more
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Reconstructing enzyme evolution by protein engineering
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Predicting Facial Biotypes Using Continuous Bayesian Network Classifiers
Bayesian networks are useful machine learning techniques that are able to combine quantitative modeling, through probability theory, with qualitative modeling, through graph theory for visualization.
Gonzalo A. Ruz, Pamela Araya-Díaz
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Dipterocarpaceae is one of the most prominent plant families, with more than 500 members of species. This family mostly used timber plants for housing, making ships, decking, and primary materials for making furniture. In Indonesia, many Dipterocarpaceae
Mirna Yunita +2 more
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