'Labeled instances' presentation slideshows

Semi-Supervised Time Series Classification

Semi-Supervised Time Series Classification. Li Wei Eamonn Keogh University of California, Riverside {wli, eamonn}@cs.ucr.edu. Indexing of Handwritten Documents.

245 views • 11 slides

Outline

Outline. Ensembles Co-training. Ensembles of Classifiers. Assume errors are independent Assume majority vote Prob majority is wrong=area under binomial dist. Prob 0.2 0.1. Number of classifiers in error. Enemble of 21 classifiers. If individual area is 0.3

105 views • 10 slides

Acoustic classification of multiple simultaneous bird species

Acoustic classification of multiple simultaneous bird species F. Briggs et al, Journal of Acoustical Society of America, 2012. Motivation. How many of which bird is where? Habitat loss, climate change Birds are good indicators Current surveys Poor sampling Observer error/bias

195 views • 8 slides

Optimistic Active Learning using Mutual Information Yuhong Guo and Russell Greiner

104 views • 1 slides