This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

We know that correlation does not imply causation, but careful analyses of correlations are often our only way to quantify cause and effect in domains ranging from healthcare to education. This ...

The product plays a critical role in CA's AllFusion solution, which includes UML modeling and component development, change management and application management. ERwin 4.1 is now able to manage ...

Softbuilder, a French software expert for innovative database tools, is offering a free 6-months license for each license bought for their leading software ERBuilder Data Modeler, a reference for easy ...