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Filtering by: Subject Lumbering -- Data processing Academic Affiliation Electrical Engineering and Computer Science Advisor Dietterich, Thomas G.

A probabilistic model for anomaly detection in remote sensor streams

Creator:

Dereszynski, Ethan W.

Abstract:

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 under extreme conditions prohibitive to human access. Unfortunately, sensor data streams exhibit many kinds of errors ranging from corrupt communications to partial...

Resource Type:

Masters Thesis

Full Text:

for observing and recording ecological data in the field. Such sensors can record data at fine
Machine Learning Methods for Computational Sustainability

Creator:

Liu, Liping

Abstract:

Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...

Resource Type:

Dissertation

Full Text:

thank Xiaoli Fern and Raviv Raich, who have done excellent work on processing the bird acoustic data
Activity recognition in desktop environments

Creator:

Shen, Jianqiang

Abstract:

Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...

Resource Type:

Dissertation

Full Text:

improved accuracy and a 180-fold speedup on real user data. To recognize workflows, we first mine