Results 11 to 20 of about 370,101 (314)
Endogenous Mechanisms of Neuroprotection: To Boost or Not to Be [PDF]
Cells, 2021 Postmitotic cells, like neurons, must live through a lifetime. For this reason, organisms/cells have evolved with self-repair mechanisms that allow them to have a long life. The discovery workflow of neuroprotectors during the last years has focused on blocking the pathophysiological mechanisms that lead to neuronal loss in neurodegeneration ...
Sara Marmolejo-Martínez-Artesero +2 more
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To Boost or not to Boost: On the Limits of Boosted Neural Networks
CoRR, 2021 Boosting is a method for finding a highly accurate hypothesis by linearly combining many ``weak" hypotheses, each of which may be only moderately accurate. Thus, boosting is a method for learning an ensemble of classifiers. While boosting has been shown to be very effective for decision trees, its impact on neural networks has not been extensively ...
Sai Saketh Rambhatla +2 more
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To boost or not to boost? On the limits of boosted trees for object detection [PDF]
2016 23rd International Conference on Pattern Recognition (ICPR), 2016 ICPR, December 2016. Added WIDER FACE test results (Fig. 5)
Eshed Ohn-Bar, Mohan M. Trivedi
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Monthly Notices of the Royal Astronomical Society, 2021 ABSTRACT The global gravitational potential, ϕ, is not commonly employed in the analysis of cosmological simulations, since its level sets do not show any clear correspondence to the underlying density field and its persistent structures.
Jens Stücker +2 more
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LDA boost classification: boosting by topics [PDF]
EURASIP Journal on Advances in Signal Processing, 2012 AdaBoost is an efficacious classification algorithm especially in text categorization (TC) tasks. The methodology of setting up a classifier committee and voting on the documents for classification can achieve high categorization precision. However, traditional Vector Space Model can easily lead to the curse of dimensionality and feature sparsity ...
Lei La, Qiao Guo, Qimin Cao, Qitao Li
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Boosted horizon of a boosted spacetime geometry [PDF]
The Fourteenth Marcel Grossmann Meeting, 2017 prepared for the ES3 (Exact Solutions (Physical Aspects)) session of the MG14 Conference, Rome, July ...
BATTISTA E +3 more
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Gradient boosting to boost the efficiency of hydraulic fracturing [PDF]
Journal of Petroleum Exploration and Production Technology, 2019 In this paper, we present a data-driven model for forecasting the production increase after hydraulic fracturing (HF). We use data from fracturing jobs performed at one of the Siberian oilfields. The data includes features, characterizing the jobs, and geological information.
Ivan Makhotin +2 more
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Flexible Boosting of Accelerated Failure Time Models [PDF]
, 2008 When boosting algorithms are used for building survival models from high-dimensional data, it is common to fit a Cox proportional hazards model or to apply semiparametric least squares techniques.
Torsten Hothorn +5 more
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Boosting Additive Models using Component-wise P-Splines [PDF]
, 2007 We consider an efficient approximation of Bühlmann & Yu’s L2Boosting algorithm with component-wise smoothing splines. Smoothing spline base-learners are replaced by P-spline base-learners which yield similar prediction errors but are more advantageous ...
Hothorn, Torsten, Schmid, Matthias
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Forecasting with many predictors - Is boosting a viable alternative? [PDF]
, 2010 This paper evaluates the forecast performance of boosting, a variable selection device, and compares it with the forecast combination schemes and dynamic factor models presented in Stock and Watson (2006).
Wohlrabe, Klaus, Buchen, Teresa
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