30 citations · 59 across the 2 of their papers we have counts for
2 papers
cs.LG2012★ 29 cited
Learning from Sparse Data by Exploiting Monotonicity Constraints
Eric E. Altendorf, Angelo C. Restificar, Thomas G. Dietterich
When training data is sparse, more domain knowledge must be incorporated into the learning algorithm in order to reduce the effective size of the hypothesis space. This paper build…
cs.AI2012★ 30 cited
Probabilistic Models for Anomaly Detection in Remote Sensor Data Streams
Ethan W. Dereszynski, Thomas G. Dietterich
Remote sensors are becoming the standard for observing and recording ecological data in the field. Such sensors can record data at fine temporal resolutions, and they can operate u…