Srikant R. Models and Methods for Analyzing Internet Congestion Control Algorithms[A].Princeton,NJ:Springer-Verlag,2004.416-419.R. Srikant, "Models and methods for analyzing internet congestion control algorithms," in Advances in Communication Control Networks, ser. Lecture Notes in Control and ...
The execution of the algorithm(s) may be constrained based on the received parameter data.doi:US8780401Ole EichornAllen OlsonUS8780401 Jun 18, 2013 Jul 15, 2014 Leica Biosystems Imaging, Inc. Systems and methods for analyzing digital slide images using algorithms constrained by parameter data...
ALI is an approach for analyzing voltage imaging data that is inspired by algorithms used in super-resolution microscopy. It allows resolving the activity of single neurons in densely labeled populations in scattering conditions. Tsai-Wen Chen ...
The present study examines the role of feature selection methods in optimizing machine learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with sixteen feature selection techniques in three categories of filter, wrapper,
for model identification and provides for the simplest model. Because of the iterative nature of the maximum likelihood algorithms used in SEM models, starting with a simple model reduces computational time and aids in convergence. Furthermore, starting with the simplest model and building up is ...
Desper R, Gascuel O (2002) Fast and accurate phylogeny reconstruction algorithms based on the minimum-evolution principle. J Comput Biol 9:687–705 ArticlePubMedCASGoogle Scholar Dimmic MW, Rest JS, Mindell DP, Goldstein RA (2002) rtREV: an amino acid substitution matrix for inference of ret...
Methods for analyzing re-identification risks The software is able to handle very large datasets on commodity hardware and features an intuitive cross-platform graphical user interface. You can find further information on the projectwebsite.
Electrocardiogram (ECG) is a non-stationary physiological signal, representing electrical activity of heart. It is not only used to look for pathological patterns among the heartbeats, but also used to measure the beats’ regularity as well as other conditions like mental stress. ...
Throughout the years, many algorithms for detecting emotions in human speech have been created [92]. Many machine learning techniques have been proposed, including support vector machines, hidden Markov models, and Gaussian mixture models. Deep learning has been widely used in a wide range of ...
The present invention provides a method for analyzing a golf swing, comprising: measuring movement of a subject performing a golf swing; and calculating values for at least four of the following parameters: peak X-factor, X-factor at impact, peak S-factor, S-factor at impact, peak O-factor...