We describe a framework for time-critical rendering of graphics scenes composed of a large number of objects having complex geometric descriptions. Our technique relies upon a sce...
Emerging telecommunication services use, store, or transmit sensitive personal data to form individual network services. We suggest an add-on approach to realize secure telecommun...
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
This report analyzes two popular heuristics for ensuring packet integrity in ATM switching systems. In particular, we analyze the behavior of packet tail discarding, in order to u...
We consider learning in situations where the function used to classify examples may switch back and forth between a small number of different concepts during the course of learnin...