Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
Visual interpretation of events requires both an appropriate representation of change occurring in the scene and the application of semantics for differentiating between different...
The advantages of a hypermedia learning system are the possibility to adapt the content to the learner and to maintain the content easily due to the modular structure. The disadva...
In the same way that the Web has evolved from being a technology designed to aid scientific collaboration to one which is employed extensively in e-business and increasingly in e-...
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...