26 search results - page 2 / 6 » Maximum entropy based significance of itemsets |
EMNLP
2008
13 years 6 months ago
2008
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
ICDM
2006
IEEE
13 years 11 months ago
2006
IEEE
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
WSC
2004
13 years 6 months ago
2004
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
ECCV
2002
Springer
14 years 7 months ago
2002
Springer
The performances of many image analysis tasks depend on the image resolution at which they are applied. Traditionally, resolution selection methods rely on spatial derivatives of i...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...