error estimationの例文

• Braga-Neto introduced, along with Edward R . Dougherty the notion of Bolstered Error Estimation.
• He has also introduced the notion of Bolstered Error Estimation and Coefficient of Determination for Nonlinear Signal Processing.
• This allows easy error estimation for generally complicated problems, as long as a triangular mesh can be generated.
• The diagrams in the Marzullo Algorithm article may help you intuit the concept behind the error estimation, but the mechanism is nontrivial.
• The most important of these improvement was the introduction of maximum likelihood error estimation using the Kalman algorithm to filter the velocity error profile.
• But for this calculation, it is left like that since the order of error estimation is not treated here ( cf below ).
• In his thesis he proved the C閍's lemma, an important result related to the error estimation in the Finite Element Method.
• In order to meet the requirements of solution verification, postprocessors need to provide for " a posteriori " error estimation in terms of the quantities of interest.
• He has worked extensively in the field of error estimation for pattern recognition and machine learning, having published with Edward R . Dougherty the first book dedicated to this topic.
• In 2015, Braga Neto published, in collaboration with Edward R . Dougherty, the first book dedicated to the topic of error estimation for pattern recognition and machine learning.
• Polynomial-time preprocessors with n dimensional bisection have been suggested for genetic algorithms, which provide an error estimation and are useful in solving real world large constrained as well as unconstrained optimization problems ( Proc.
• S . K . Sen and G . A . Shaykhian, Genetic algorithms for optimization : Preprocessing with n dimensional bisection and error estimation, Proceedings of Neural, Parallel and Scientific Computations, 3, 243-252, August 2006.
• Problems that can be expressed as constraint satisfaction problems are the eight queens puzzle, the Sudoku solving problem and many other logic puzzles, the Boolean satisfiability problem, bounded-error estimation problems and various problems on graphs such as the graph coloring problem.