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» Using Random Forests in the Structured Language Model
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ECMDAFA
2008
Springer
97views Hardware» more  ECMDAFA 2008»
14 years 11 months ago
Textual Modelling Embedded into Graphical Modelling
Abstract. Today's graphical modelling languages, despite using symbols and connections, represent large model parts as structured text. We benefit from sophistic text editors,...
Markus Scheidgen
ICMI
2009
Springer
105views Biometrics» more  ICMI 2009»
15 years 4 months ago
Grounding spatial prepositions for video search
Spatial language video retrieval is an important real-world problem that forms a test bed for evaluating semantic structures for natural language descriptions of motion on natural...
Stefanie Tellex, Deb Roy
NN
2007
Springer
162views Neural Networks» more  NN 2007»
14 years 9 months ago
Learning grammatical structure with Echo State Networks
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...
LATA
2010
Springer
14 years 8 months ago
Language-Based Comparison of Petri Nets with Black Tokens, Pure Names and Ordered Data
We apply language theory to compare the expressive power of models that extend Petri nets with features like colored tokens and/or whole place operations. Specifically, we conside...
Fernando Rosa Velardo, Giorgio Delzanno
ACSC
2009
IEEE
15 years 4 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...