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» Learning a Generative Model for Structural Representations
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AAAI
2004
13 years 9 months ago
Automatic Generation of Artistic Chinese Calligraphy
We introduce a novel intelligent system which can generate new Chinese calligraphic artwork that meets certain aesthetic requirements automatically. In the machine learning phase,...
Songhua Xu, Francis C. M. Lau, Kwok-Wai Cheung, Yu...
AAAI
2004
13 years 9 months ago
Comparing Cognitive and Computational Models of Narrative Structure
A growing number of applications seek to incorporate automatically generated narrative structure into interactive virtual environments. In this paper, we evaluate a representation...
David B. Christian, R. Michael Young
CORR
2012
Springer
163views Education» more  CORR 2012»
12 years 3 months ago
The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information
Traditional economic models typically treat private information, or signals, as generated from some underlying state. Recent work has explicated alternative models, where signals ...
Michael P. Wellman, Lu Hong, Scott E. Page
LREC
2008
174views Education» more  LREC 2008»
13 years 9 months ago
UnsuParse: unsupervised Parsing with unsupervised Part of Speech Tagging
Based on simple methods such as observing word and part of speech tag co-occurrence and clustering, we generate syntactic parses of sentences in an entirely unsupervised and self-...
Christian Hänig, Stefan Bordag, Uwe Quasthoff
UAI
1996
13 years 9 months ago
Learning Bayesian Networks with Local Structure
In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
Nir Friedman, Moisés Goldszmidt