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» Where We Stand at Probabilistic Reasoning
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TKDE
2008
178views more  TKDE 2008»
14 years 10 months ago
Efficient Similarity Search over Future Stream Time Series
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
Xiang Lian, Lei Chen 0002
TNN
2010
174views Management» more  TNN 2010»
14 years 4 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 4 months ago
A Bayesian approach to empirical local linearization for robotics
— Local linearizations are ubiquitous in the control of robotic systems. Analytical methods, if available, can be used to obtain the linearization, but in complex robotics system...
Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, St...
SIAMCOMP
1998
125views more  SIAMCOMP 1998»
14 years 9 months ago
Free Bits, PCPs, and Nonapproximability-Towards Tight Results
This paper continues the investigation of the connection between probabilistically checkable proofs (PCPs) and the approximability of NP-optimization problems. The emphasis is on p...
Mihir Bellare, Oded Goldreich, Madhu Sudan
RECSYS
2009
ACM
15 years 4 months ago
Measuring predictive capability in collaborative filtering
This paper presents a new memory-based approach to Collaborative Filtering where the neighbors of the active user will be selected taking into account their predictive capability....
Luis M. de Campos, Juan M. Fernández-Luna, ...