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ICML
2009
IEEE
16 years 1 months ago
Learning when to stop thinking and do something!
An anytime algorithm is capable of returning a response to the given task at essentially any time; typically the quality of the response improves as the time increases. Here, we c...
Barnabás Póczos, Csaba Szepesv&aacut...
75
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ICALT
2005
IEEE
15 years 6 months ago
Force Feedback Slider (FFS): Interactive Device for Learning System Dynamics
Physics education often relies on visualization of theoretical laws. While Java animations are widespread, they mostly lack user interaction. We propose a haptic device inviting u...
Adjan Kretz, Remo Huber, Morten Fjeld
83
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CIMCA
2005
IEEE
15 years 6 months ago
NEFCOP: A Neuro-Fuzzy Vehicle Collision Prediction System
Given that road accidents occur in a real-time environment, simple crisp functions would barely provide an estimate of the gravity of the life situation. Fuzzy-based systems are a...
K. Venkatesh, Archana Ramesh, M. Alagusundaram, J....
104
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ICANN
2003
Springer
15 years 5 months ago
Meta-learning for Fast Incremental Learning
Model based learning systems usually face to a problem of forgetting as a result of the incremental learning of new instances. Normally, the systems have to re-learn past instances...
Takayuki Oohira, Koichiro Yamauchi, Takashi Omori
IEEEVAST
2010
14 years 7 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen