We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
This paper present highlights of the results of a survey of instructors of the introductory Artificial Intelligence course at colleges and universities throughout the United State...
Asynchronous transfer mode (ATM) networks must define multicast capabilities in order to efficiently support numerous applications, such as video conferencing and distributed appli...
The Available Bit Rate (ABR) service has been developed to support data applications over Asynchronous Transfer Mode (ATM). The ABR service uses a closed-loop rate-based traffic ma...
The problem of answering queries using views is to find efficient methods of answering a query using a set of previously materialized views over the database, rather than accessin...