Results 251 to 260 of about 1,036,303 (287)
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1998
Averaging over many predictors leads to a reduction of the variance portion of the error. We present a method for evaluating the mean squared error of an infinite ensemble of predictors from finite (small size) ensemble information. We demonstrate it on ensembles of networks with different initial choices of synaptic weights.
David Horn, Ury Naftaly, Nathan Intrator
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Averaging over many predictors leads to a reduction of the variance portion of the error. We present a method for evaluating the mean squared error of an infinite ensemble of predictors from finite (small size) ensemble information. We demonstrate it on ensembles of networks with different initial choices of synaptic weights.
David Horn, Ury Naftaly, Nathan Intrator
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Structured Large Margin Machine Ensemble
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006Large margin classifiers have been widely applied in solving supervised learning problems. One representative model in large margin learning is the support vector machine (SVM). SVM is an unstructured classifier since the data structure information is underutilized and the decision hyperplane calculation relies exclusively on the support vectors.
Patrick P. K. Chan +3 more
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GP ensembles for large-scale data classification
IEEE Transactions on Evolutionary Computation, 2006An extension of Cellular Genetic Programming for data classification (CGPC) to induce an ensemble of predictors is presented. Two algorithms implementing the bagging and boosting techniques are described and compared with CGPC. The approach is able to deal with large data sets that do not fit in main memory since each classifier is trained on a subset ...
Gianluigi Folino +2 more
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Large-scale recording of neuronal ensembles
Nature Neuroscience, 2004How does the brain orchestrate perceptions, thoughts and actions from the spiking activity of its neurons? Early single-neuron recording research treated spike pattern variability as noise that needed to be averaged out to reveal the brain's representation of invariant input.
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Technologies for investigating large ensemble performance
2021Abstract Empirical research into large ensemble performance has crossed many disciplinary boundaries from music education to management studies, and has included the investigation of musicians’ interpersonal coordination and communication, group creativity and decision-making, conductors’ gestures, group musical expression, the social ...
Cayenna Ponchione-Bailey, Eric F. Clarke
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Climate change attribution with large ensembles
2021<p>The large sample sizes from single-model large ensembles are beneficial for a robust attribution of climate changes to anthropogenic forcing. This presentation will review examples using large ensembles in two types of attribution:&#160; standard detection and attribution of spatio-temporal changes and extreme event attribution.
Megan Kirchmeier-Young +2 more
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Forecasting Hurricanes using Large-Ensemble Output
2020<p>This paper describes the development of a model framework for Forecasts of Hurricanes using Large-ensemble Outputs (FHLO). Computationally inexpensive, FHLO quantifies the forecast uncertainty of a particular tropical cyclone (TC) through O(1000) ensemble members.
Jonathan Lin +2 more
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Effective programming for large distributed ensembles
Qatar Foundation Annual Research Forum Proceedings, 2010AbstractClaytronics is a project at Carnegie Mellon University to develop programmable matter – bringing the power of programming to physical matter. A Claytronics system consists of millions of tiny computing units called catoms. Each catom is capable of executing code, sensing and communicating with nearby catoms, and moving around its neighbors ...
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Fluorescence imaging of large-scale neural ensemble dynamics
Cell, 2022Tony Hyun Kim, Mark J Schnitzer
exaly
Invisible victories for large chamber ensemble
2014Invisible victories for large chamber ensemble ? I. Tempt the present ? II. To see the end ? III. Breathe ? full score ? C score ? duration: 15 minutes ? flute, oboe, clarinet, bassoon, horn, trumpet, trombone, tuba, 2 percussion, harp, piano, 2 violins, viola, cello ...
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