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» Reducing Label Complexity by Learning From Bags
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94
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ICDE
2010
IEEE
290views Database» more  ICDE 2010»
15 years 1 months ago
The Model-Summary Problem and a Solution for Trees
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...
Biswanath Panda, Mirek Riedewald, Daniel Fink
SPEECH
2010
94views more  SPEECH 2010»
14 years 4 months ago
Predicting the phonetic realizations of word-final consonants in context - A challenge for French grapheme-to-phoneme converters
One of the main problems in developing a text-to-speech (TTS) synthesizer for French lies in grapheme-to-phoneme conversion. Automatic converters produce still too many errors in ...
Josafá de Jesus Aguiar Pontes, Sadaoki Furu...
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
ICSE
2012
IEEE-ACM
12 years 12 months ago
Continuous social screencasting to facilitate software tool discovery
—The wide variety of software development tools available today have a great potential to improve the way developers make software, but that potential goes unfulfilled when deve...
Emerson R. Murphy-Hill
100
Voted
SAC
2008
ACM
14 years 9 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng