Results 41 to 50 of about 2,095,948 (338)
Provably Efficient Reinforcement Learning with Linear Function Approximation [PDF]
Annual Conference Computational Learning Theory, 2019 Modern reinforcement learning (RL) is commonly applied to practical problems with an enormous number of states, where function approximation must be deployed to approximate either the value function or the policy.
Chi Jin +3 more
semanticscholar +1 more source
DEVELOPMENT OF A DISCRETE MATHEMATICAL MODEL OF THE HYDROTREATING DIESEL FUEL REACTOR
Современная наука и инновации, 2022 The article gives an example of the transformation of the initial mathematical model of the hydrotreating diesel fuel reactor which is a system of algebraic equations into its discrete analogue, using the method of "nets" (finite difference method).
Ksenia Igorevna Netsvetaeva
doaj
Лëд и снег, 2023 Ice pressure is characterized with significant spatial variability. Study of this variability with the help of in situ observations is rather difficult, because (1) the instrumental measurements are expensive and technically complicated, and, hence, the ...
S. V. Klyachkin
doaj +1 more source
Estimates of the Approximation Error Using Rademacher Complexity: Learning Vector-Valued Functions [PDF]
, 2008 For certain families of multivariable vector-valued functions to be approximated, the accuracy of approximation schemes made up of linear combinations of computational units containing adjustable parameters is investigated.
Gnecco Giorgio +7 more
core +1 more source
Solid Pseudopapillary Neoplasm of the Pancreas in Children and Adolescents: Expert Recommendations
Pediatric Blood &Cancer, EarlyView.ABSTRACT Solid pseudopapillary neoplasm of the pancreas (SPN) is a rare low‐grade malignant exocrine pancreatic tumor, mostly discovered during the second decade of life in females, with a very good prognosis, provided microscopically complete surgical excision is achieved.
Sabine Irtan +18 more
wiley +1 more source
Spectral Representation and Simulation of Fractional Brownian Motion
ComputationThis paper gives a new representation for the fractional Brownian motion that can be applied to simulate this self-similar random process in continuous time. Such a representation is based on the spectral form of mathematical description and the spectral
Konstantin Rybakov
doaj +1 more source
Features of the dynamics of prices for agricultural products of the northern countries [PDF]
Арктика и Север, 2017 Price dynamics for agricultural products of the northern countries is determined by many factors. The methods of economic and mathematical analysis of the dynamics of prices for agricultural products of the northern countries have allowed to identify ...
Olga P. Sushko
doaj +1 more source
Efficient approximation of random fields for numerical applications [PDF]
, 2014 This article is dedicated to the rapid computation of separable expansions for the approximation of random fields. We consider approaches based on techniques from the approximation of non-local operators on the one hand and based on the pivoted Cholesky ...
Michael Peters +5 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source
A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition [PDF]
Journal of nonlinear science, 2014 The Koopman operator is a linear but infinite-dimensional operator that governs the evolution of scalar observables defined on the state space of an autonomous dynamical system and is a powerful tool for the analysis and decomposition of nonlinear ...
Matthew O. Williams +2 more
semanticscholar +1 more source