OSA | Deconvolution method for recovering the photon time-of-flight distribution from time-resolved measurements
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https://www.osapublishing.org/vjbo/abstract.cfm?URI=ol-37-12-2358Multi-Objective Optimization of Grinding Processes with Two Approaches: Optimal Pareto Set with Genetic Algorithm and Multi...
The algorithm for finding Pareto set is proposed and an example is presented. A new formulation for multi-objective ... A Niched Pareto Genetic Algorithm for Multiobjective Optimization. *Jeffrey Horn. , Nicholas Nafpliotis. , David E. Goldberg ... Multicriteria optimization using a genetic algorithm for determining a Pareto set. *Rémy Viennet. , Christian Fonteix. , Ivan ... The algorithm for finding Pareto set is proposed and an example is presented. A new formulation for multi-objective ...
https://www.semanticscholar.org/paper/Multi-Objective-Optimization-of-Grinding-Processes-Adamyan-He/0fd3454a6e4646257f130214ce1d96d6f8dbace2Algorithms | Free Full-Text | Linear Time Local Approximation Algorithm for Maximum Stable Marriage | HTML
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http://www.mdpi.com/1999-4893/6/3/471/htm"Predictive Minimum Description Length Principle Approach to Inferring " by Vijender Chaitankar, Chaoyang Zhang et al.
In this algorithm, the information theoretic quantities MI and CMI determine the regulatory relationships between genes and the ... The performance of the proposed algorithm is evaluated using both synthetic time series data sets and a biological time series ... proposed algorithm produced fewer false edges and significantly improved the precision when compared to existing MDL algorithm. ... In this work, we propose a new inference algorithm that incorporates mutual information (MI), conditional mutual information ( ...
https://aquila.usm.edu/fac_pubs/349/Physics-inspired algorithms and phase transitions in community detection | Math
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https://www.math.princeton.edu/events/physics-inspired-algorithms-and-phase-transitions-community-detection-2014-10-13t203010What's New (Analysis Services - Data Mining)
Based on the well-known ARIMA algorithm, the new algorithm provides better long-term predictions than the ARTxp algorithm that ... By default, the new implementation of the Microsoft Time Series algorithm uses the ARTxp algorithm to train one version of the ... you can specify that the Microsoft Time Series algorithm use only the ARTxp or the ARIMA algorithm. In SQL Server 2008 ... The algorithm then weights the results of these two models to provide the prediction characteristics that you prefer. If you do ...
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http://citeseer.ist.psu.edu/showciting?cid=10812566Dynamic Parameter Design By Ant Colony Optimization and Neural Networks - Redorbit
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http://www.redorbit.com/news/technology/1015793/dynamic_parameter_design_by_ant_colony_optimization_and_neural_networks/Information | Free Full-Text | sCwc/sLcc: Highly Scalable Feature Selection Algorithms
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http://www.mdpi.com/2078-2489/8/4/159Genetic Algorithms
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http://www.kernel-machines.org/publications/Laskov01/bibliography_exportFormRecursive Identification Algorithms
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http://liu.diva-portal.org/smash/record.jsf?pid=diva2:316690Image Enhancement Techniques Using Particle Swarm Optimization Technique: Engineering IS&T Book Chapter | IGI Global
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https://www.igi-global.com/chapter/image-enhancement-techniques-using-particle-swarm-optimization-technique/131255How well do facial recognition algorithms cope with a million strangers? | UW News
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http://www.washington.edu/news/2016/06/23/how-well-do-facial-recognition-algorithms-cope-with-a-million-strangers/Namespaces Algorithms
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https://www.ics.uci.edu/~eppstein/161/Algorithms | SpringerLink
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