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IJCNN
2008
IEEE
14 years 5 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
33
Voted
IROS
2009
IEEE
180views Robotics» more  IROS 2009»
14 years 5 months ago
Control of redundant robots using learned models: An operational space control approach
Abstract— We present an adaptive control approach combining forward kinematics model learning methods with the operational space control approach. This combination endows the rob...
Camille Salaün, Vincent Padois, Olivier Sigau...
COLT
2001
Springer
14 years 3 months ago
Learning Additive Models Online with Fast Evaluating Kernels
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
Mark Herbster
COLCOM
2008
IEEE
14 years 5 months ago
Learning Models of the Negotiation Partner in Spatio-temporal Collaboration
Abstract. We describe an approach for learning the model of the opponent in spatio-temporal negotiation. We use the Children in the Rectangular Forest canonical problem as an examp...
Yi Luo, Ladislau Bölöni
ICONIP
2010
13 years 9 months ago
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu...