A multi-dimensional linear predictor of 9-1-1 (emergency) call volumes was built and used to automatically detect emergency events. This is illustrated by analyzing the emergency ...
Hector Jasso, Tony Fountain, Chaitan Baru, William...
We study the stochastic machine replenishment problem, which is a canonical special case of closed multiclass queuing systems in Markov decision theory. The problem models the sche...
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
What modes and domains of knowledge about data production processes are most critical for producing high-quality data? This study provides an answer to this question. Data are coll...
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...