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NECO
2007
115views more  NECO 2007»
13 years 7 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
13 years 5 months 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
13 years 5 months 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»
13 years 5 months 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»
13 years 5 months 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...