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ISMIR
2005
Springer
150views Music» more  ISMIR 2005»
14 years 2 months ago
A Bootstrap Method for Training an Accurate Audio Segmenter
Supervised learning can be used to create good systems for note segmentation in audio data. However, this requires a large set of labeled training examples, and handlabeling is qu...
Ning Hu, Roger B. Dannenberg
EMNLP
2007
13 years 10 months ago
Bootstrapping Information Extraction from Field Books
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Sander Canisius, Caroline Sporleder
SYNTHESE
2011
72views more  SYNTHESE 2011»
13 years 3 months ago
Science without (parametric) models: the case of bootstrap resampling
Scientific and statistical inferences build heavily on explicit, parametric models, and often with good reasons. However, the limited scope of parametric models and the increasin...
Jan Sprenger
CCS
2009
ACM
14 years 3 months ago
A practical property-based bootstrap architecture
Binary attestation, as proposed by the Trusted Computing Group (TCG), is a pragmatic approach for software integrity protection and verification. However, it has also various sho...
René Korthaus, Ahmad-Reza Sadeghi, Christia...
EMNLP
2004
13 years 10 months ago
Statistical Significance Tests for Machine Translation Evaluation
If two translation systems differ differ in performance on a test set, can we trust that this indicates a difference in true system quality? To answer this question, we describe b...
Philipp Koehn