Parameters of statistical distributions that are input to simulations are typically not known with certainty. For existing systems, or variations on existing systems, they are oft...
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user's query. This paper describes a system that attempts t...
In this paper we describe an ongoing project aimed at investigating the impact of feature interaction problems on computer telephony integration (CTI). As a representative and soph...
Nikolay A. Anisimov, Alec Miloslavski, Gregory Pog...
The phases of the ANISE project (Architectural Notions In Service Engineering) are briefly explained with reference to the work reported here. An outline strategy is given for tra...