Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Date 9-11 Dec. 2015

Лос-Анджелес : IEEE, 2015.

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Data-Based Statistical Models of Data Networks

Agalakov Y., Кулешов А. П., Бернштейн А. В., , in: Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Date 9-11 Dec. 2015.: Лос-Анджелес: IEEE, 2015. P. 433–438.

Machine (Statistical) learning methods are used for predicting the delivery times of the packages transmitted through the data network (DN). The statistical model of the DN is proposed, this model allows predicting the delivery times depending on a state of the DN (network load) and the statistical dependences between the delivery times of different transmitted ...

Добавлено: 11 июля 2016 г.

Statistical learning via manifold learning

Бернштейн А. В., Кулешов А. П., Янович Ю. А., , in: Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Date 9-11 Dec. 2015.: Лос-Анджелес: IEEE, 2015. P. 64–69.

A new geometrically motivated method is proposed for solving the non-linear regression task consisting in constructing a predictive function which estimates an unknown smooth mapping f from q-dimensional inputs to m-dimensional outputs based on a given 'input-output' training pairs. The unknown mapping f determines q-dimensional Regression manifold M(f) consisting of all the (q+m)-dimensional 'input-output' vectors. ...

Добавлено: 11 июля 2016 г.