Search Results - "ridge"

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    Ridge Regression for Two Dimensional Locality Preserving Projection by Nguyen, Nam, Liu, Wan-Quan, Venkatesh, Svetha

    Published 2008
    “…This paper proposes a novel algorithm called Ridge Regression for Two Dimensional Locality Preserving Projection (RR-2DLPP), which is an extension of 2D-LPP with the use of ridge regression. …”
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    Constraints on the neutrino emission from the Galactic Ridge with the ANTARES telescope by Adrian-Martinez, S., Albert, A., Andre, M., Anghinolfi, M., Anton, G., Ardid, M., Aubert, J., Avgitas, T., Baret, B., Barrios-Marti, J., Basa, S., Bertin, V., Biagi, S., Bormuth, R., Bouwhuis, M., Bruijn, R., Brunner, J., Busto, J., Capone, A., Caramete, L., Carr, J., Celli, S., Chiarusi, T., Circella, M., Coleiro, A., Coniglione, R., Costantini, H., Coyle, P., Creusot, A., Deschamps, A., De Bonis, G., Distefano, C., Donzaud, C., Dornic, D., Drouhin, D., Eberl, T., El Bojaddaini, I., Elsaesser, D., Enzenhofer, A., Fehn, K., Felis, I., Fusco, L., Galata, S., Gay, P., Geisselsoeder, S., Geyer, K., Giordano, V., Gleixner, A., Glotin, H., Gracia-Ruiz, R., Graf, K., Hallmann, S., van Haren, H., Heijboer, A., Hello, Y., Hernandez-Rey, J., Hoessl, J., Hofestaedt, J., Hugon, C., Illuminati, G., James, Clancy, de Jong, M., Kadler, M., Kalekin, O., Katz, U., Kiessling, D., Kouchner, A., Kreter, M., Kreykenbohm, I., Kulikovskiy, V., Lachaud, C., Lahmann, R., Lefevre, D., Leonora, E., Loucatos, S., Marcelin, M., Margiotta, A., Marinelli, A., Martinez-Mora, J., Mathieu, A., Michael, T., Migliozzi, P., Moussa, A., Mueller, C., Nezri, E., Pavalas, G., Pellegrino, C., Perrina, C., Piattelli, P., Popa, V., Pradier, T., Racca, C., Riccobene, G., Roensch, K., Saldana, M., Samtleben, D., Sanchez-Losa, A., Sanguineti, M., Sapienza, P., Schnabel, J., Schussler, F., Seitz, T., Sieger, C., Spurio, M., Stolarczyk, T., Taiuti, M., Trovato, A., Tselengidou, M., Turpin, D., Tonnis, C., Vallage, B., Vallee, C., Van Elewyck, V., Visser, E., Vivolo, D., Wagner, S., Wilms, J., Zornoza, J., Zunga, J.

    Published 2016
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    Optimization of protease extraction from ridged gourd (Luffa acutangula by Nur Fatin Nadia, Mohd Dzakir, Erna Normaya, Abdullah, Nur Amanina, Hassanuddin, Syamimi Sulfiza, Shamsuri, Anwar, Iqbal, Mohd Bijarimi, Mat Piah, Mohammad Norazmi, Ahmad

    Published 2023
    “…In this study, proteolytic enzymes were extracted from the sarcocarp of ridged gourd (Luffa acutangula), and the effect of the extraction process on protease activity was evaluated. …”
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    Statistical optimization with nonlinear constraints and parameter identification for the cutoff height of pressure ridges by Tan, B., Wang, Xiangyu, Wang, L., Peng, L., Li, Z.

    Published 2016
    “…The performance criterion consists of two parts: the deviation between the numerical results and the measured data of the ridge height; the deviation between the numerical results and the measured data of the ridge spacing. …”
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    Weighted high leverage collinear robust ridge estimator in logistic regression model by Ariffin, Syaiba Balqish, Midi, Habshah

    Published 2018
    “…Methods that successfully address these problems separately are not effective for the combined problems. A robust logistic ridge regression (RLR) which incorporates the weighted Bianco and Yohai (WBY) robust estimator with fully iterated logistic ridge regression (LR) is proposed to rectify the combined problems of high leverage points and multicollinearity in a data. …”
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    The effect of high leverage points on the logistic ridge regression estimator having multicollinearity by Ariffin @ Mat Zin, Syaiba Balqish, Midi, Habshah

    Published 2013
    “…This article is concerned with the performance of logistic ridge regression estimation technique in the presence of multicollinearity and high leverage points. …”
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    Recurrent error-based ridge polynomial neural networks for time series forecasting by Hassan Saeed, Waddah Waheeb

    Published 2019
    “…These models were called the ridge polynomial neural network with error feedback (RPNN-EF) and the ridge polynomial neural network with error-output feedbacks (RPNN-EOF). …”
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    Tangent direction computation in ridge line following of gray scale fingerprint images by Sulong, Siti Masrina, Sulong, Ghazali

    Published 2000
    “…Maio and Maltoni (1997) proposed a method to detect minutiae in gray scale fingerprint images based on ridge line following which is to crail the ridge line according to the fingerprint directional image. …”
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    Morphological approach to extract ridge and valley connectivity networks from Digital Elevation Models by Sagar, B. S. Daya, Murthy, M. B. R., Rao, C. Babu, Raj, Baldev

    Published 2003
    “…The extraction of ridge and valley connectivity networks is essential for studying spatio-temporal organizations. …”
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    A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression by Shen, K., Fripp, J., Pannek, K., George, J., Colditz, P., Boyd, Roslyn, Rose, S.

    Published 2017
    “…We subdivided the cohort consisting of preterm- and term-born infants according to their PMA at the MRI scan based on a kernel ridge regression, and generated the atlases based on Fibre Orientation Distribution (FOD) reconstruction of the diffusion data.…”
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    Primitive oxygen-isotope ratio recorded in magmatic zircon from the Mid-Atlantic Ridge by Cavosie, Aaron, Kita, N., Valley, J.

    Published 2009
    “…Here we report the first measurements of oxygen-isotope ratios in zircon from oceanic crust exposed at a mid-ocean ridge. Measurements of d18O and trace elements were made by ion microprobe on zircon in polished rock chips of gabbro and veins in serpentinized peridotite drilled from the Mid-Atlantic Ridge. …”
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    Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression by An, Senjian, Liu, Wan-Quan, Venkatesh, Svetha

    Published 2007
    “…Given n training examples, the training of a least squares support vector machine (LS-SVM) or kernel ridge regression (KRR) corresponds to solving a linear system of dimension n. …”
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