Results 11 to 20 of about 70,225 (278)
CKM substructure from the weak to the Planck scale
Journal of High Energy Physics, 2022 We look for relations among CKM matrix elements that are not consequences of the Wolfenstein parametrization. In particular, we search for products of CKM elements raised to integer powers that approximately equal 1.
Yuval Grossman +3 more
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Insights Into Efficient k-Nearest Neighbor Classification With Convolutional Neural Codes
IEEE Access, 2020 The increasing consideration of Convolutional Neural Networks (CNN) has not prevented the use of the k-Nearest Neighbor (kNN) method. In fact, a hybrid CNN-kNN approach is an interesting option in which the network specializes in feature extraction ...
Antonio-Javier Gallego +2 more
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AutoML Approach to Stock Keeping Units Segmentation
Journal of Theoretical and Applied Electronic Commerce Research, 2022 A typical retailer carries 10,000 stock-keeping units (SKUs). However, these numbers may exceed hundreds of millions for giants such as Walmart and Amazon.
Ilya Jackson
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Architecture Students' Search Behavior in Parametric Design
eCAADe proceedings, 2022 Over the last decade, architecture has witnessed a growing popularity for new computational tools such as parametric design environments (PDEs). Given their rapid evolution and development, expertise tends to become increasingly transient, and architects find themselves in a situation where they must constantly re-learn their tools.
Dissaux, Thomas, Jancart, Sylvie
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Neighborhood Search Considering Continuous Space Search
Trends in Computational and Applied Mathematics, 2002 The objective of this work is to present and discuss a dynamical optimization procedure based on the algorithm of self-consistent parametric inference, where the movement of one feasible solution to another is implemented in continuous mode. The approach
A.T. Gómez, B.E.J. BODMANN
doaj +1 more source
Parameterized models for on-line and off-line use [PDF]
, 2011 The Monadic Constraint Programming framework leverages Haskell’s rich static type system and powerful abstraction mechanisms to implement an embedded domain specific language (EDSL) for constraint programming.
A.J. Fernandez +6 more
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Solving post-Newtonian accurate Kepler Equation [PDF]
, 2017 We provide an elegant way of solving analytically the third post-Newtonian (3PN) accurate Kepler equation, associated with the 3PN-accurate generalized quasi-Keplerian parametrization for compact binaries in eccentric orbits.
Boetzel, Yannick +4 more
core +2 more sources
Non-parametric contextual stochastic search [PDF]
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 Stochastic search algorithms are black-box optimizer of an objective function. They have recently gained a lot of attention in operations research, machine learning and policy search of robot motor skills due to their ease of use and their generality.
Abdolmaleki, A. +3 more
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Научный вестник МГТУ ГА, 2018 The application of hybrid memetic algorithm of global constrained optimization in the search optimal control of nonlinear stochastic systems problem is researched in the paper.
A. V. Panteleev, V. N. Panovskiy
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McGenus: A Monte Carlo algorithm to predict RNA secondary structures with pseudoknots [PDF]
, 2012 We present McGenus, an algorithm to predict RNA secondary structures with pseudoknots. The method is based on a classification of RNA structures according to their topological genus.
Andronescu +26 more
core +4 more sources