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NECO
2007
115views more  NECO 2007»
15 years 2 months ago
Training Recurrent Networks by Evolino
In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Jürgen Schmidhuber, Daan Wierstra, Matteo Gag...
ACL
2009
15 years 28 days ago
Sense-based Interpretation of Logical Metonymy Using a Statistical Method
The use of figurative language is ubiquitous in natural language texts and it is a serious bottleneck in automatic text understanding. We address the problem of interpretation of ...
Ekaterina Shutova
EMNLP
2009
15 years 27 days ago
Refining Grammars for Parsing with Hierarchical Semantic Knowledge
This paper proposes a novel method to refine the grammars in parsing by utilizing semantic knowledge from HowNet. Based on the hierarchical state-split approach, which can refine ...
Xiaojun Lin, Yang Fan, Meng Zhang, Xihong Wu, Huis...
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 27 days ago
Single step evolution of robot controllers for sequential tasks
The generation of robot controllers for a task requiring a sequence of elementary behaviors is still a challenge. If these behaviors are known, intermediate steps can be given to ...
Stéphane Doncieux, Jean-Baptiste Mouret
ICRA
2009
IEEE
146views Robotics» more  ICRA 2009»
15 years 25 days ago
Optimized passive dynamics improve transparency of haptic devices
For haptic devices, compensation of the robot's gravity is a frequent strategy with the aim to reduce interaction forces between robot and human in zero-impedance control. How...
Heike Vallery, Alexander Duschau-Wicke, Robert Rie...