To determine whether any frequency's responses to error were distinctly related to a switch in context, we predicted single-trial EEG data from a computational learning model that can adapt to multiple contexts simultaneously based on a switching mechanism.
By integrating the chromatin protein binding data and some detected histone modifications with computational machine learning models, the global potential principal chromatin types can be revealed [ 25, 26].
By applying computational reinforcement learning models to subjects' discrimination performance, the apparent enhanced sensitivity to misleading reinforcement described in the present study can be accounted for, somewhat counterintuitively, in terms of an overall reduction in reinforcement sensitivity.
He has published research conducted with MIT's Computational Cognitive Science group on reinforcement learning models that infer cooperative and competitive intent and predict future behavior.
Hence, several computational works have started developing machine learning models to predict the energy consumption of residential and commercial buildings using features such as weather and energy bills [1].
Finally, we complemented our main regression analysis with a full computational reinforcement-learning model, for which the methods are detailed in the supplementary materials.
ML uses mathematical, algorithmic analysis and statistical models (also known as computational learning theory).
Cloud TPUs deliver the computational power needed to train complex machine learning models based on deep neural networks.
Google is seeing customers use this service for a variety of compute-intensive tasks such as genomics, computational finance and training and inference on machine learning models.
On its own, training a machine learning model is already an incredibly intensive computational process.
Our computational model learns a set of connections from ADRs to pathways consistent with the observed drug-ADR relations.
