Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
An estimation algorithm for a query is a probabilistic algorithm that computes an approximation for the size (number of tuples) of the query. One class of estimation algorithms us...
There are relatively few proposals for inconsistency measures for propositional belief bases. However inconsistency measures are potentially as important as information measures f...
We present an efficient algorithm for exact calculation and minimization of expected waiting times of all passengers using a bank of elevators. The dynamics of the system are rep...
: In this paper, inspired by the work of Megiddo on the formation of preferences and strategic analysis, we consider an early market model studied in the field of economic theory, ...