Items where Subject is "bioinformatics > computational biology > algorithms > machine learning"

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Number of items at this level: 6.

B

Belkin, M., Hsu, D., Mitra, P. P. (December 2018) Overfitting or perfect fitting? Risk bounds for classification and regression rules that interpolate. In: 32nd Conference on Neural Information Processing Systems, NeurIPS 2018, Montreal, Canada.

Berlow, N. E., Rikhi, R., Geltzeiler, M., Abraham, J., Svalina, M. N., Davis, L. E., Wise, E., Mancini, M., Noujaim, J., Mansoor, A., Quist, M. J., Matlock, K. L., Goros, M. W., Hernandez, B. S., Doung, Y. C., Thway, K., Tsukahara, T., Nishio, J., Huang, E. T., Airhart, S., Bult, C. J., Gandour-Edwards, R., Maki, R. G., Jones, R. L., Michalek, J. E., Milovancev, M., Ghosh, S., Pal, R., Keller, C. (June 2019) Probabilistic modeling of personalized drug combinations from integrated chemical screen and molecular data in sarcoma. BMC Cancer, 19 (1). p. 593. ISSN 1471-2407

F

Fang, Han, Huang, Yi-Fei, Radhakrishnan, Aditya, Siepel, Adam, Lyon, Gholson J., Schatz, Michael C. (February 2018) Scikit-ribo Enables Accurate Estimation and Robust Modeling of Translation Dynamics at Codon Resolution. Cell Systems, 6 (2). pp. 180-191. ISSN 2405-4712

M

Malta, T. M., Sokolov, A., Gentles, A. J., Burzykowski, T., Poisson, L., Weinstein, J. N., Kaminska, B., Huelsken, J., Omberg, L., Gevaert, O., Colaprico, A., Czerwinska, P., Mazurek, S., Mishra, L., Heyn, H., Krasnitz, A., Godwin, A. K., Lazar, A. J., Stuart, J. M., Hoadley, K. A., Laird, P. W., Noushmehr, H., Wiznerowicz, M. (April 2018) Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation. Cell, 173 (2). 338-354.e15. ISSN 0092-8674

Mitra, P. P. (November 2018) Fast convergence for stochastic and distributed gradient descent in the interpolation limit. European Signal Processing Conference, EUSIPCO, pp. 1890-1894. ISBN 22195491 (ISSN); 9789082797015 (ISBN)

T

Tran, Ngoc, Kepple, Daniel, Shuvaev, Sergey A., Koulakov, Alexei A. (June 2019) DeepNose: Using artificial neural networks to represent the space of odorants. Proceedings of the 36th International Conference on Machine Learning, 97. pp. 6305-6314.

This list was generated on Sat Aug 17 03:11:28 2019 EDT.
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