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 ...

Microsoft on Friday found itself trying to clarify that it has nothing to do with the poor coding practices that have enabled a massive SQL injection attack to affect Web sites using Microsoft IIS Web ...