Contributions to Bayesian network learning with applications to neuroscience

(ii) Classify by means of a local machine those patterns rejected by the global learning

For each performance measure separately, I ranked the 36 combinations of Method by S.Time by S.Type (for the Drivers Known scenario) or the 144 combinations of Filtering by Method

Table 10: Overall ranking of all 144 combinations of method, filtering, and sampling when Drivers are Unknown with respect to each performance performance measure. Methods have

We study the emerging collective dynamics of a neural network model that emits and recognizes neural signatures with different network topolo- gies in order to assess the capacity of

This project is going to focus on the design, implementation and analysis of a new machine learning model based on decision trees and other models, specifically neural networks..

• Network Slicing supports the instantiation of a logical network tailored to a given service..

• Network Slicing supports the instantiation of a logical network to support a service..

• Network Slicing: A management mechanism that Network Slice Provider can use to allocate dedicated infrastructure resources and service functions to the user of the Network