Active learning with ensembles for image classification

Authors:
H. Liu;A. Mandvikar;P. Foschi;K. Torkkola
Affiliations:
department of Computer Science & Engineering, Arizona State University, Tempe, AZ;department of Computer Science & Engineering, Arizona State University, Tempe, AZ;Romberg Tiburon Center, Tiburon, CA;Human Interface Lab, Motorola Labs, Tempe, AZ
Venue:
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Year:
2003

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Abstract

Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is closely tied to how accurately data values are predicted at runtime. Caching ...