We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
— An autonomous robot system that is to act in a real-world environment is faced with the problem of having to deal with a high degree of both complexity as well as uncertainty. ...
: With the development of enterprise-wide and cross-enterprise application integration and interoperation towards web service, web service providers try to not only fulfill the fun...
In this paper, fundamental conditions which bound the network processing unit (NPU) worst-case performance are established. In particular, these conditions formalize and integrate...
In many occasions would one encounter the task of maintaining the consistency of two pieces of structured data that are related by some transform — synchronising bookmarks in diï...