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» Bio-inspired Computing Paradigms (Natural Computing)
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ERLANG
2003
ACM
15 years 5 months ago
ARMISTICE: an experience developing management software with Erlang
In this paper, some experiences of using the concurrent functional language Erlang to implement a classical vertical application, a risk management information system, are present...
David Cabrero, Carlos Abalde, Carlos Varela, Laura...
IJCAI
1993
15 years 1 months ago
Using Classification as a Programming Language
Our experience in the IDAS natural language generation project has shown us that IDAS'S KLONE-like classifier, originally built solely to hold a domain knowledge base, could ...
Chris Mellish, Ehud Reiter
ACL
2010
14 years 9 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
ICCV
2011
IEEE
13 years 11 months ago
A Nonparametric Riemannian Framework on Tensor Field with Application to Foreground Segmentation
Background modelling on tensor field has recently been proposed for foreground detection tasks. Taking into account the Riemannian structure of the tensor manifold, recent resear...
Rui Caseiro, João F. Henriques, Pedro Martins, Jo...
133
Voted
PPSN
1994
Springer
15 years 3 months ago
Genetic L-System Programming
We present the Genetic L-System Programming (GLP) paradigm for evolutionary creation and development of parallel rewrite systems (Lsystems, Lindenmayer-systems) which provide a com...
Christian Jacob