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Filtering by: Creator Pfleeger, Thomas G. Subject Learning classifier systems

Calibrating recurrent sliding window classifiers for sequential supervised learning

Creator:

Oregon State University. Department of Computer Science, Joshi, Saket Subhash, and Dietterich, Thomas G.

Abstract:

Sequential supervised learning problems involve assigning a class label to each item in a sequence. Examples include part-of-speech tagging and text-to-speech mapping. A very general-purpose strategy for solving such problems is to construct a recurrent sliding window (R.SW) classifier, which maps some window of the input sequence plus some number...

Resource Type:

Research Paper

Full Text:

Supervised Learning Saket Joshi & Thomas G. Dietterich School of Electrical Engineering and Computer Science
Calibrating recurrent sliding window classifiers for sequential supervised learning

Creator:

Joshi, Saket, Dietterich, Thomas G., and Oregon State University. School of Electrical Engineering and Computer Science

Abstract:

Sequential supervised learning problems involve assigning a class label to each item in a sequence. Examples include part of speech tagging and text to speech mapping. A very general-purpose strategy for solving such problems is to construct a recurrent sliding window (RSW) classifier which maps some window of the input...

Resource Type:

Technical Report

Full Text:

Sequential Supervised Learning Saket Joshi � Thomas G� Dietterich School of Electrical Engineering and