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COLING
1996
15 years 8 months ago
Machine Translation Method Using Inductive Learning with Genetic Algorithms
We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have c...
Hiroshi Echizen-ya, Kenji Araki, Yoshio Momouchi, ...
AAAI
2010
15 years 8 months ago
Task Space Behavior Learning for Humanoid Robots using Gaussian Mixture Models
In this paper a system was developed for robot behavior acquisition using kinesthetic demonstrations. It enables a humanoid robot to imitate constrained reaching gestures directed...
Kaushik Subramanian
JCNS
2006
64views more  JCNS 2006»
15 years 7 months ago
A neuronal network for the logic of Limax learning
We construct a neuronal network to model the logic of associative conditioning as revealed in experimental results using the terrestrial mollusk Limax maximus. We show, in particul...
Pranay Goel, Alan Gelperin
PAMI
2006
117views more  PAMI 2006»
15 years 7 months ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon
CORR
1999
Springer
76views Education» more  CORR 1999»
15 years 7 months ago
Resolving Part-of-Speech Ambiguity in the Greek Language Using Learning Techniques
This article investigates the use of Transformation-Based Error-Driven learning for resolving part-of-speech ambiguity in the Greek language. The aim is not only to study the perf...
Georgios Petasis, Georgios Paliouras, Vangelis Kar...