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112
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ICASSP
2008
IEEE
15 years 10 months ago
An unsupervised web-based topic language model adaptation method
This paper focuses on a solution to better adapt ASR systems, whose language models (LM) are usually trained on topic-independent corpora, to new topics, in particular in the case...
Gwénolé Lecorvé, Guillaume Gr...
120
Voted
NIPS
2004
15 years 4 months ago
Semi-supervised Learning with Penalized Probabilistic Clustering
While clustering is usually an unsupervised operation, there are circumstances in which we believe (with varying degrees of certainty) that items A and B should be assigned to the...
Zhengdong Lu, Todd K. Leen
134
Voted
VLDB
1990
ACM
116views Database» more  VLDB 1990»
15 years 7 months ago
A Probabilistic Framework for Vague Queries and Imprecise Information in Databases
A probabilistic learning model for vague queries and missing or imprecise information in databases is described. Instead of retrieving only a set of answers, our approach yields a...
Norbert Fuhr
121
Voted
BMCBI
2005
89views more  BMCBI 2005»
15 years 3 months ago
An empirical analysis of training protocols for probabilistic gene finders
Background: Generalized hidden Markov models (GHMMs) appear to be approaching acceptance as a de facto standard for state-of-the-art ab initio gene finding, as evidenced by the re...
William H. Majoros, Steven Salzberg
133
Voted
ACL
2011
14 years 7 months ago
Joint Annotation of Search Queries
Marking up search queries with linguistic annotations such as part-of-speech tags, capitalization, and segmentation, is an important part of query processing and understanding in ...
Michael Bendersky, W. Bruce Croft, David A. Smith