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» The Inefficiency of Batch Training for Large Training Sets
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APWEB
2005
Springer
14 years 1 months ago
An Incremental Subspace Learning Algorithm to Categorize Large Scale Text Data
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...
Jun Yan, QianSheng Cheng, Qiang Yang, Benyu Zhang
SCIA
2005
Springer
110views Image Analysis» more  SCIA 2005»
14 years 1 months ago
Training Cellular Automata for Image Processing
Experiments were carried out to investigate the possibility of training cellular automata to to perform processing. Currently, only binary images are considered, but the space of r...
Paul L. Rosin
NAACL
2007
13 years 9 months ago
Detection of Non-Native Sentences Using Machine-Translated Training Data
Training statistical models to detect nonnative sentences requires a large corpus of non-native writing samples, which is often not readily available. This paper examines the exte...
John Lee, Ming Zhou, Xiaohua Liu
JMLR
2010
161views more  JMLR 2010»
13 years 2 months ago
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Micha...
NAACL
2003
13 years 9 months ago
Detection Of Agreement vs. Disagreement In Meetings: Training With Unlabeled Data
To support summarization of automatically transcribed meetings, we introduce a classifier to recognize agreement or disagreement utterances, utilizing both word-based and prosodi...
Dustin Hillard, Mari Ostendorf, Elizabeth Shriberg