127 search results - page 17 / 26 » Learning Non-Generative Grammatical Models for Document Anal... |
IFIP
2001
Springer
13 years 12 months ago
2001
Springer
This paper uses semiotic theories to model how meaning is constructed during an IS development project. Conventionally, shared meanings among all project stakeholders are regarded...
NIPS
2008
13 years 9 months ago
2008
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
ALT
2009
Springer
13 years 10 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...