estimation of distribution algorithms
A review of estimation of distribution algorithms in bioinformatics
... Evolutionary algorithms, and GAs in particular, have been widely and successfully applied in bioinformatics. It is reasonable to expect that the improvements in EDA effi- ciency and sc[r] ...
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Optimizing Logistic Regression Coefficients for Discrimination and Calibration Using Estimation of Distribution Algorithms.
... Optimizing logistic regression coefficients for discrimination and calibration using estimation of distribution algorithmsV. Ohno-Machado.[r] ...
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Distributed Estimation of Distribution Algorithms for continuous optimization: how does the exchanged information influence their behavior?
... In general terms, EDAs are similar to Genetic Algorithms (GAs), but their main characteristic is the use of probabilistic models to extract information from the most promising individu[r] ...
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Position estimation using dead reckoning and other localized algorithms in wireless networks
... type of networks, several low power nodes whose transmission range is limited are randomly deployed in a given area, few of them are aware of their physical location coordinates and serve as an- ...
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Statistical techniques and algorithms applied in satellite communications antenna arrays for direction of arrival estimation and calibration
... types of data are obtained. On one hand there is the trajectory information of the desired signal, which can be obtained from Trajectory Data ...The distribution of data is performed in the ...
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Comparison of Airborne Laser Scanning Methods for Estimating Forest Structure Indicators Based on Lorenz Curves
... mentation of individual tree crowns from a canopy height model ...performance of the ITD algorithms typically depends on tree density and spatial distribution of trees, ...disadvantage ...
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Estimation of the particle size distribution of colloids from multiangle dynamic light scattering measurements with particle swarm optimization
... size distribution of polymeric latexes from multi-angle dynamic light scattering ...The estimation procedure was based on the minimization of a functional according to the Tikhonov regu- ...
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Simple Hardware Implementation of Motion Estimation Algorithms
... movement of an object ...model of the ...Movement of objects in the real world induces a change in the 2D plane inside images ...frames of a video [3]. Optical flow describes the ...
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Gradient-based reinforcement learning techniques for underwater robotics behavior learning
... function estimation methodologies are Memory- based techniques, also known as Instance-based techniques [ 15 ...family of learning algorithms that, instead of performing explicit generaliza- ...
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View of Estimation of herbaceous vegetation aerial cover estimation using remote sensing
... development of vegetation indexes (VI) should be based on theoretical considerations and experimental evidence, and there should be a linear relationship with the biophysical variable of ...format of ...
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Integrating defeasible argumentation and machine learning techniques . Preliminary report
... because of some kind of logical ...Args of arguments obtained from a knowledge base K , it holds that attacks ⊆ Args × Args , and def eats ⊆ ...
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Automated proximal sensing for estimation of the bidirectional reflectance distribution function in a Mediterranean tree grass ecosystem
... “breathing” of the planet (Gamon et ...existence of spatial and temporal ...advantage of overcoming the temporal mismatch existing between the continuous micrometeorological measurements acquired by ...
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On the possibility to design evolutionary algorithms with optimal equilibrium distribution . The case of simulated annealing
... thermodynamics of equilibrium for a physical system with a large number of particles, but fixed in its size, so that it can only exchange energy with the ...piece of material and then cooling it down ...
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The estimation of truncation error by tau-estimation revisited
... (23) and (24) are solved using second-order spatial schemes. An FD method associated with a second-order accurate central scheme for the computation of the second derivative was conside[r] ...
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Numerical Implementation of Gradient Algorithms
... value of the step size h was assigned for both methods. A battery of experiments has been performed, by assigning different values to all design parameters of the neural network: dimension—number ...
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On the Security of Cache Algorithms
... implementation of the CacheAudit ...security of cache algorithms (in particular FIFO, LRU and PLRU) that gives an upper bound on the number of possible observations any of the three ...
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Econometric Estimation of PCAIDS Models
... some of the virtues of the econometric demand models but have less data ...number of restrictions that make that all the elasticity values depend on a single parameter and on a set of revenue ...
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TítuloTowards efficient exploitation of GPUs : a methodology for mapping index digit algorithms
... versions of known al- gorithms. Despite the required effort, this is one of the most common approaches for porting CPU applications to GPU when performance is ...range of signal processing ...
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The influence of the CEO in listed family businesses
... framework of agency theory (Jensen & Meckling; 1976), the presence of an outside CEO could lead to agency problems and their corresponding ...delegation of decision-making powers by the owners ...
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Contributions to sensor modeling and bias estimation algorithms for air traffic surveillance
... multitude of interpolation methods more complex than the previously presented as the Basic splines (B-splines) but these meth- ods are developed for different application as the 3D modeling of ...lot ...
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