502 search results - page 58 / 101 » Learning from General Label Constraints |
110
Voted
EMNLP
2006
14 years 11 months ago
2006
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
NIPS
2001
14 years 11 months ago
2001
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
HRI
2010
ACM
15 years 4 months ago
2010
ACM
—Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate h...
126
Voted
KDD
2012
ACM
13 years 3 days ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
76
Voted
DGO
2008
14 years 11 months ago
2008
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...