General Approach To Materials Classification Using Neutron Analysis Techniques.doi:10.1063/1.2187886elementalanalysisgammarayspectroscopyneutroncaptureThe 'neutron in, gamma out' method of elemental analysis has been known and used in many applications as an elemental analysis tool. This method is non-...
The most important part of the agents, in turn, is their decision system which, in this work, consists of a genetic algorithm or at least of parts of a GA. The core analysis of the behavior of the agents and by that the behavior of the economic model consists of running the simulation...
In this context, this work aims at providing a new perspective on the definition of luminescence-based thermometric parameters using dimensionality reduction techniques that emerged in the last years. The application of linear (Principal Component Analysis) and non-linear (t-distributed Stochastic ...
In addition, techniques do exist that use external information in the estimation process, for example prior distributions in Bayesian statistics. In this paper, we discuss the benefits of adopting generalized method of moments with external moments, as another example for such a technique. Analytical...
Randomized response is another class of input perturbation techniques, which randomly perturbs each sensitive value in a certain way, so that personal privacy is concealed while the vital-trend of the entire dataset is still recoverable, then query evaluation often involves likelihood-based analysis. ...
The main difference between our proposed Bot2Vec and other network embedding techniques is it preserves both community structure and neighborhood proximity between users/bots in a given OSN. First, we apply the well-known Louvain [31] community detection algorithm to identify the community of each ...
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Between August-November 2023, #HowToThing was a series of short posts & mini-tutorials on Mastodon, demonstrating a range of different techniques, patterns and use cases from across the thi.ng/umbrella ecosystem. These are not necessarily intro examples, but each one comes with heavily commented...
regression analysisleast squaresuncorre-lated residualscovariance matricesequality constraintslinear hypothesesupdating techniquesplane rotationsWe consider the general univariate linear model E(y) = Xb, V(y) = o2 W, W symmetric nonnegative definite. A numerically stable method based on orthogonal ...
Key: combinatorial optimization, open-source benchmark suite for the NP-hard maximum independent set problem, an in-depth analysis of the popular guided tree search algorithm, compare the tree search implementations to other solvers ExpEnv: NP-hard MAXIMUM INDEPENDENT SET. Code Monte-Carlo Planning...