Results 51 to 60 of about 6,719,109 (88)
Stochastic adaptation and fold-change detection: from single-cell to population behavior. [PDF]
BMC Syst Biol, 2011 Marquez-Lago TT, Leier A.
europepmc +1 more source
Graph-Based Search Procedure for Vector Autoregressive Models [PDF]
Vector Autoregressions (VARs) are a class of time series models commonly used in econometrics to study the dynamic effect of exogenous shocks to the economy.
Alessio Moneta, Peter Spirtes
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Think-Aloud Modelling for Clinical Reasoning in Undergraduate Dental Education: A Pilot Study. [PDF]
Dent J (Basel)Menon RK, Ghanem TA, Hajjo HM.
europepmc +1 more source
Box-constrained vector optimization: a steepest descent method without “a priori” scalarization [PDF]
In this paper a notion of descent direction for a vector function defined on a box is introduced. This concept is based on an appropriate convex combination of the “projected” gradients of the components of the objective functions.
Miglierina Enrico +2 more
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Stability in Quasineutral Plasmas with Thermalized Electrons. [PDF]
Ann PDEGriffin-Pickering M, Iacobelli M.
europepmc +1 more source
A propagation of chaos result for a system of particles with moderate interaction
This paper is concerned with the asymptotic behaviour of a system of particles with moderate interaction. The main result is a propagation of chaos result which generalizes a convergence result of Oelschläger.
Roelly-Coppoletta, Sylvie +1 more
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Using divergence free wavelets for the numerical solution of the Stokes problem
, 1996 The divergence free formulation of the Stokes problem leads to a positive definite system of reduced size for the velocity, provided that divergence free trial spaces are available.
Karsten Urban, Stokes Problem
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Benchmarking least squares support vector machine classifiers. [PDF]
In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Suykens, Johan +7 more
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