801 search results - page 29 / 161 » The Inefficiency of Batch Training for Large Training Sets |
181
Voted
IAT
2009
IEEE
16 years 25 days ago
2009
IEEE
—We describe the design of an autonomous agent that can teach itself how to translate from a foreign language, by first assembling its own training set, then using it to improve...
168
click to vote
EMNLP
2009
15 years 3 months ago
2009
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
177
click to vote
NIPS
2007
15 years 7 months ago
2007
Empirical risk minimization offers well-known learning guarantees when training and test data come from the same domain. In the real world, though, we often wish to adapt a classi...
161
click to vote
ACL
2010
15 years 4 months ago
2010
Conditional Random Fields (CRFs) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate str...
137
click to vote
ICASSP
2009
IEEE
16 years 25 days ago
2009
IEEE
We study key issues related to multilingual acoustic modeling for automatic speech recognition (ASR) through a series of large-scale ASR experiments. Our study explores shared str...