Classifier Instance:

Anchor text: Multiresolution analysis
Target Entity: Multiresolution_analysis
Preceding Context: The wavelet transform is often compared with the Fourier transform, in which signals are represented as a sum of sinusoids. The main difference is that wavelets are localized in both time and frequency whereas the standard Fourier transform is only localized in frequency. The Short-time Fourier transform (STFT) is more similar to the wavelet transform, in that it is also time and frequency localized, but there are issues with the frequency/time resolution trade-off. Wavelets often give a better signal representation using
Succeeding Context: , with balanced resolution at any time and frequency.
Paragraph Title: Comparisons with Fourier transform (continuous-time)
Source Page: Wavelet

Ground Truth Types:

Predicted Types:

Type	Confidence	Decision
wordnet_artifact_100021939	-1.5679325398308475	0
wordnet_event_100029378	1.3234291738175503	1
wordnet_act_100030358	-1.7707477028150111	0
wordnet_social_event_107288639	-1.4361434076825492	0
wordnet_happening_107283608	1.4714039341264111	1
wordnet_incident_107307477	-1.263479125629093	0
wordnet_trouble_107289014	-1.2221627752584894	0
wordnet_beginning_107290905	-0.9235346644102745	0
wordnet_ending_107291312	-1.2563558827568255	0
wordnet_group_action_101080366	-2.023817195644111	0
wordnet_organization_108008335	-2.439427930200746	0
wordnet_person_100007846	-2.576146297865057	0
yagoGeoEntity	-2.649061011066174	0