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» Combining predictions for accurate recommender systems
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ICMLA
2008
14 years 11 months ago
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
IROS
2007
IEEE
139views Robotics» more  IROS 2007»
15 years 3 months ago
Geometric motion estimation and control for robotic-assisted beating-heart surgery
— One of the potential benefits of robotic systems in cardiac surgery is that their use can increase the number of possible off-pump (beating heart) coronary artery bypass graft...
Vincent Duindam, Shankar Sastry
RECSYS
2010
ACM
14 years 9 months ago
Incremental collaborative filtering via evolutionary co-clustering
Collaborative filtering is a popular approach for building recommender systems. Current collaborative filtering algorithms are accurate but also computationally expensive, and so ...
Mohammad Khoshneshin, W. Nick Street
JDCTA
2010
155views more  JDCTA 2010»
14 years 4 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
EWMF
2003
Springer
15 years 2 months ago
Semantically Enhanced Collaborative Filtering on the Web
Item-based Collaborative Filtering (CF) algorithms have been designed to deal with the scalability problems associated with traditional user-based CF approaches without sacrificin...
Bamshad Mobasher, Xin Jin, Yanzan Zhou