Titlebook: ECML PKDD 2018 Workshops; DMLE 2018 and IoTStr Anna Monreale,Carlos Alzate,Rita P. Ribeiro Conference proceedings 2019 Springer Nature Swit

Limited

978-3-030-14879-9Springer Nature Switzerland AG 2019

特征

Affectation

Matrix Structures in Queuing Models,he computation of deep neural networks is demanding in energy, compute power and memory. Various approaches have been investigated to reduce the necessary resources, one of which is to leverage the sparsity occurring in deep neural networks due to the high levels of redundancy in the network paramet

Anguish

DOLT

obtuse

intention

奖牌

四牛在弯曲

键琴

4-D (Time Lapse 3-D) Seismic Surveys, preference models which are used to make meaningful recommendations. However, the accuracy of these incremental models is critically affected by the choice of hyper-parameters. So far, the incremental recommendation algorithms used to process data streams rely on human expertise for hyper-parameter