Sökning: "M. Jose Peña"
Hittade 3 avhandlingar innehållade orden M. Jose Peña.
1. Gated Bayesian Networks
Sammanfattning : Bayesian networks have grown to become a dominant type of model within the domain of probabilistic graphical models. Not only do they empower users with a graphical means for describing the relationships among random variables, but they also allow for (potentially) fewer parameters to estimate, and enable more efficient inference. LÄS MER
2. A Study of Chain Graph Interpretations
Sammanfattning : Probabilistic graphical models are today one of the most well used architectures for modelling and reasoning about knowledge with uncertainty. The most widely used subclass of these models is Bayesian networks that has found a wide range of applications both in industry and research. LÄS MER
3. Chain Graphs : Interpretations, Expressiveness and Learning Algorithms
Sammanfattning : Probabilistic graphical models are currently one of the most commonly used architectures for modelling and reasoning with uncertainty. The most widely used subclass of these models is directed acyclic graphs, also known as Bayesian networks, which are used in a wide range of applications both in research and industry. LÄS MER