Oct 12, 2018 · Multi-view learning is an emerging field in machine learning, which does research on exploiting multi-view data for a single object to improve ...

Oct 1, 2019 · With document level opinion mining being the objective, we implemented multi-view learning based on heterogeneous deep neural networks.

This study proposed a personalized recommendation model with multi-view information integration, ie, Deep-MINE, which organically and comprehensively utilizes ...

Multi-view deep learning is performed based on the deep fu- sion of data from multiple sources, i.e. data with multiple views. However, due to the property ...

We investigated whether features generated by heterogeneous deep neural networks can be combined by multi-view learning to improve the overall performance. With ...

Multi-view Opinion Mining with Deep Learning. https://doi.org/10.1007/s11063-018-9935-0 ·. Journal: Neural Processing Letters, 2018, № 2, p. 1451-1463.

We investigated whether features generated by heterogeneous deep neural networks can be combined by multi-view learning to improve the overall performance. With ...

We investigated whether features generated by heterogeneous deep neural networks can be combined by multi-view learning to improve the overall performance. With ...

Oct 12, 2018 · With document level opinion mining being the objective, we implemented multi-view learning based on heterogeneous deep neural networks.

May 4, 2020 · The proposed multi-view deep network makes use of intermediate features extracted from convolutional and recursive neural networks to perform classification.