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NECO
2007
115views more  NECO 2007»
13 years 10 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...
PAMI
2007
118views more  PAMI 2007»
13 years 10 months ago
Learning to Transform Time Series with a Few Examples
We describe a semi-supervised regression algorithm that learns to transform one time series into another time series given examples of the transformation. This algorithm is applie...
Ali Rahimi, Ben Recht, Trevor Darrell
RAS
2007
153views more  RAS 2007»
13 years 10 months ago
Cognitive maps for mobile robots - an object based approach
Robots are rapidly evolving from factory work-horses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret ...
Shrihari Vasudevan, Stefan Gächter, Viet Nguy...
RIA
2008
104views more  RIA 2008»
13 years 10 months ago
Scatterbox: Context-Aware Message Management
Applications that rely on mobile devices for user interaction must be mindful of the user's limited attention, which will typically be split between several competing tasks. C...
Stephen Knox, Ross Shannon, Lorcan Coyle, Adrian K...
TSMC
2008
102views more  TSMC 2008»
13 years 9 months ago
Context-Dependent DNA Coding With Redundancy and Introns
Abstract--Deoxyribonucleic acid (DNA) coding methods determine the meaning of a certain character in individual chromosomes by the characters surrounding it. The meaning of each ch...
Peng Xiao, Prahlad Vadakkepat, Tong Heng Lee