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ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
13 years 6 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
GLOBECOM
2010
IEEE
13 years 5 months ago
Reinforcement Learning for Link Adaptation in MIMO-OFDM Wireless Systems
Machine learning algorithms have recently attracted much interest for effective link adaptation due to their flexibility and ability to capture more environmental effects implicitl...
Sungho Yun, Constantine Caramanis
ICASSP
2008
IEEE
14 years 2 months ago
Recognition for synthesis: Automatic parameter selection for resynthesis of emotional speech from neutral speech
One of the biggest challenges in emotional speech resynthesis is the selection of modification parameters that will make humans perceive a targeted emotion. The best selection me...
Murtaza Bulut, Sungbok Lee, Shrikanth Narayanan
LREC
2008
88views Education» more  LREC 2008»
13 years 9 months ago
A Trainable Tokenizer, solution for multilingual texts and compound expression tokenization
Tokenization is one of the initial steps done for almost any text processing task. It is not particularly recognized as a challenging task for English monolingual systems but it r...
Oana Frunza
EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
13 years 9 months ago
Validation of the control quality of characteristic field based fuzzy controllers
Rule based systems for Fuzzy Control, Fuzzy Supervising and Fuzzy Diagnosis are non-linear multi-input, multi-output systems. The result of the signal processing within the system...
Rainer Hampel, Nasredin Chaker