197 search results - page 26 / 40 » Word Clustering and Disambiguation Based on Co-occurrence Da... |
JMLR
2011
13 years 2 months ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
BPM
2008
Springer
13 years 9 months ago
2008
Springer
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
IVC
2007
13 years 7 months ago
2007
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
ACL
1998
13 years 9 months ago
1998
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
SIGMOD
2009
ACM
14 years 7 months ago
2009
ACM
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...