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ACL
2001
15 years 6 months ago
A Machine Learning Approach to the Automatic Evaluation of Machine Translation
We present a machine learning approach to evaluating the wellformedness of output of a machine translation system, using classifiers that learn to distinguish human reference tran...
Simon Corston-Oliver, Michael Gamon, Chris Brocket...
VMV
2003
123views Visualization» more  VMV 2003»
15 years 6 months ago
Using Feature Flow Fields for Topological Comparison of Vector Fields
In this paper we propose a new topology based metric for 2D vector fields. This metric is based on the concept of feature flow fields. We show that it incorporates both the cha...
Holger Theisel, Christian Rössl, Hans-Peter S...
GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
15 years 4 months ago
Shared memory genetic algorithms in a multi-agent context
In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. O...
Dana Vrajitoru
AUTOMATICA
2010
108views more  AUTOMATICA 2010»
15 years 4 months ago
Robust output feedback sampling control based on second-order sliding mode
This paper proposes a new second order sliding mode output feedback controller. This latter is developped in the case of finite sampling frequency and is using only output informa...
Franck Plestan, Emmanuel Moulay, Alain Glumineau, ...
AUTOMATICA
2010
130views more  AUTOMATICA 2010»
15 years 4 months ago
Discrete-time dynamic average consensus
We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely ...
Minghui Zhu, Sonia Martínez