Reservoir Computing is a class of simple yet efficient Recurrent Neural Networks where
internal weights are fixed at random and only a linear output layer is trained. In the large size …

Deep reinforcement learning (RL) has received great success in playing video games and
strategic board games, where a simulator is well-defined, and massive samples are …

In this thesis, we will leverage the use of randomness in multiple aspects of machine
learning. We will start by showing the link between reservoir computing and recurrent …

The Influence of Structural Information on Natural Language Processing Page 1 The
Influence of Structural Information on Natural Language Processing by Xinyuan Zhang …

Deep learning methods have shown unparalleled performance when trained on vast
amounts of diverse labeled training data, often collected at great cost. In many contexts, we …

Deep representation learning has shown its effectiveness in many tasks such as text
classification and image processing. Many researches have been done to directly improve …

Motivated by the importance of kernel-machines for the development of Deep Learning
models, we have represented an extensive study of the work done in the paper Kernel …