Results 121 to 130 of about 1,084,163 (283)

An automated approach to the design of decision tree classifiers [PDF]

The classification of large dimensional data sets arising from the merging of remote sensing data with more traditional forms of ancillary data is considered.
Argentiero, P., Beaudet, P., Chin, P.
core   +1 more source

Novel Surface‐Based Bézier Metamaterials: A Higher Degree of Parametrization toward Tailoring the Effective Properties under Compression

Advanced Engineering Materials, EarlyView.
Cubic Bézier curves are used in the synthesis of novel surface‐based metamaterials with tunable mechanical properties. Surface‐based geometries are 3D printed and tested in compression. The resulting mechanical properties are correlated to changes in the shape of the base curve, with high potential in energy absorption through the adjustment of their ...
Alberto Álvarez‐Trejo, Enrique Cuan‐Urquizo, Armando Roman‐Flores   +2 more
wiley   +1 more source

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Proceedings of the AAAI Conference on Artificial Intelligence
Decision trees remain one of the most popular machine learning models today, largely due to their out-of-the-box performance and interpretability. In this work, we present a Bayesian approach to decision tree induction via maximum a posteriori inference of a posterior distribution over trees.
Sullivan, Colin, Tiwari, Mo, Thrun, Sebastian   +2 more
openaire   +2 more sources

Classification Trees for Problems with Monotonicity Constraints [PDF]

For classification problems with ordinal attributes very often theclass attribute should increase with each or some of theexplaining attributes. These are called classification problemswith monotonicity constraints. Classical decision tree algorithmssuch
Feelders, A.J., Potharst, R.
core   +1 more source

Decision tree parsing using a hidden derivation model [PDF]

, 1994
F. Jelinek, John Lafferty, David M. Magerman, R. L. Mercer, Adwait Ratnaparkhi, Salim Roukos   +5 more
openalex   +1 more source

Direct Electron Detection Electron Energy‐Loss Spectroscopy: Speeding Up 2D Analytical In Situ Transmission Electron Microscopy for Aluminum Alloys

Advanced Engineering Materials, EarlyView.
Scanning transmission electron microscopy imaging techniques are an essential tool to document dynamic developments, such as precipitation in aluminum alloys, during in situ heating experiments using transmission electron microscopy. However, in many cases, chemical information is required to interpret complex nanoscale processes.
Evelin Fisslthaler, Martina Dienstleder, Judith Lammer, Moritz Theissing, Daniel Knez   +4 more
wiley   +1 more source

Comparison of the use of binary decision trees and neural networks in top-quark detection [PDF]

, 1993
David Bowser-Chao, Debra Lynn Dzialo
openalex   +1 more source

(Nb,Ti)(C,N)‐Precipitates in High‐Strength Low‐Alloyed Steels—Modeling, Characterization and Validation

Advanced Engineering Materials, EarlyView.
Steel samples are investigated using complementary simulations and measurements. Transmission electron microscopy in bright‐field mode, combined with energy‐dispersive X‐ray spectroscopy maps for titanium and niobium, reveals distinct particle populations. Simulations reproduce these in size and composition.
Marc Laub, Christian Motz, Eric Detemple, Sebastian Scholl   +3 more
wiley   +1 more source

Toward Maximum Utilization of Heavy Rare Earths in Sintered Nd–Fe–B Magnets by Grain Boundary Diffusion Source and Application Area Optimization

Advanced Engineering Materials, EarlyView.
In this work, the grain boundary diffusion process is optimized to maximize heavy rare earth utilization by strategic magnetic hardening of areas in the magnet such as corners or edges that are highly susceptible to demagnetization, as demonstrated by finite element magnetostatics simulation on an internal permanent magnet, synchronous traction motor ...
Abdullatif Durgun, Dominik Ohmer, Matthias Katter, Andreas Thul, Simon Steentjes, Hossein Sepehri Amin, Oliver Gutfleisch, Imants Dirba   +7 more
wiley   +1 more source

Learning decision trees using the Fourier spectrum [PDF]

, 1991
Eyal Kushilevitz, Yishay Mansour
openalex   +1 more source