Results 251 to 260 of about 3,746,451 (299)

Tau Aggregate Imaging and Transcriptomics of Alzheimer's Disease Brain at Different Stages of Disease

Advanced Science, EarlyView.
The protein aggregates and gene expression in the middle temporal gyrus (MTG) and somatosensory cortex (SOM) of the postmortem brains of 13 Alzheimer's disease patients were studied in detail, revealing that small hyperphosphorylated tau aggregates increase with Braak stage driven by microglial inflammation.
Elizabeth A. English, Dorothea Böken, Matthew W. Cotton, Matthew R. Cheetham, Johanna S. Jackson, Georg Meisl, John S. H. Danial, Paul M. Matthews, Nurun N. Fancy, David Klenerman   +9 more
wiley   +1 more source

Predictive value of gradient boosting decision trees for postoperative atelectasis complications in patients with pulmonary destruction. [PDF]

Am J Transl Res
Tang Z, Tang J, Liu W, Chen G, Feng C, Zhang A.   +5 more
europepmc   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

GBDT-IL: Incremental Learning of Gradient Boosting Decision Trees to Detect Botnets in Internet of Things. [PDF]

Sensors (Basel)
Chen R, Dai T, Zhang Y, Zhu Y, Liu X, Zhao E.   +5 more
europepmc   +1 more source

A multi-stage machine learning framework for stepwise prediction of tuberculosis treatment outcomes: Integrating gradient boosted decision trees and feature-level analysis for clinical decision support

Wang L, Campino S, Clark TG, Phelan JE.
europepmc   +1 more source

Multivariate decision trees [PDF]

Machine Learning, 1995
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carla Brodley, Paul E. Utgoff
exaly   +4 more sources

Trees and decisions [PDF]

Economic Theory, 2005
The traditional model of sequential decision making, for instance, in extensive form games, is a tree. Most texts define a tree as a connected directed graph without loops and a distinguished node, called the root. But an abstract graph is not a domain for decision theory.
Alós-Ferrer, C., Ritzberger, K.
openaire   +4 more sources

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Decision trees and decision-making

IEEE Transactions on Systems, Man, and Cybernetics, 1990
Various practical systems capable of extracting descriptive decision-making knowledge from data have been developed and evaluated. Techniques that represent knowledge about classified tasks in the form of decision trees are examined. A sample of techniques is sketched, ranging from basic methods of constructing decision trees to ways of using them ...
J R Quinlan
exaly   +3 more sources