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» Generating UML Models from Domain Patterns
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156
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CORR
2010
Springer
185views Education» more  CORR 2010»
15 years 2 days ago
Analysing the behaviour of robot teams through relational sequential pattern mining
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
Grazia Bombini, Raquel Ros, Stefano Ferilli, Ramon...
ANLP
2000
97views more  ANLP 2000»
15 years 4 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
NIPS
2000
15 years 4 months ago
Vicinal Risk Minimization
The Vicinal Risk Minimization principle establishes a bridge between generative models and methods derived from the Structural Risk Minimization Principle such as Support Vector M...
Olivier Chapelle, Jason Weston, Léon Bottou...
104
Voted
ISBI
2008
IEEE
16 years 4 months ago
Flexible image registration for the identification of best fitted protein models in 3D-EM maps
In this work we propose an image registration algorithm to automatically fit protein atomic domain models into medium-resolution three-dimensional electron microscopy reconstructi...
Andrés Santos, Carlos Oscar Sánchez ...
ISAMI
2010
14 years 10 months ago
Ontology and SWRL-Based Learning Model for Home Automation Controlling
Abstract. In the present paper we describe IntelliDomo's learning model, an ontology-based expert system able to control a home automation system and to learn user's beha...
Pablo A. Valiente-Rocha, Adolfo Lozano Tello