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» Using Random Forests in the Structured Language Model
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SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
14 years 11 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
JMLR
2012
13 years 7 days ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
ACL
2009
14 years 7 months ago
A NLG-based Application for Walking Directions
This work describes an online application that uses Natural Language Generation (NLG) methods to generate walking directions in combination with dynamic 2D visualisation. We make ...
Michael Roth, Anette Frank
AAAI
1998
14 years 11 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
ACL
2009
14 years 7 months ago
Active Learning for Multilingual Statistical Machine Translation
Statistical machine translation (SMT) models require bilingual corpora for training, and these corpora are often multilingual with parallel text in multiple languages simultaneous...
Gholamreza Haffari, Anoop Sarkar