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» Modelling Smooth Paths Using Gaussian Processes
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IJON
1998
102views more  IJON 1998»
13 years 7 months ago
Developments of the generative topographic mapping
The Generative Topographic Mapping (GTM) model was introduced by 7) as a probabilistic re-formulation of the self-organizing map (SOM). It offers a number of advantages compared ...
Christopher M. Bishop, Markus Svensén, Chri...
EOR
2006
68views more  EOR 2006»
13 years 7 months ago
Modelling complex assemblies as a queueing network for lead time control
In this paper we develop an open queueing network for optimal design of multi-stage assemblies, in which each service station represents a manufacturing or assembly operation. The...
Amir Azaron, Hideki Katagiri, Kosuke Kato, Masatos...
AAAI
2012
11 years 10 months ago
Supervised Probabilistic Robust Embedding with Sparse Noise
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
Yu Zhang, Dit-Yan Yeung, Eric P. Xing
SAC
2008
ACM
13 years 7 months ago
Error estimation in wireless sensor networks
We present an analogy between the operation of a Wireless Sensor Network and the sampling and reconstruction of a signal. We measure the impact of three factors on the quality of ...
Alejandro César Frery, Heitor Ramos, Jos&ea...
TKDE
2011
150views more  TKDE 2011»
13 years 2 months ago
Estimating and Enhancing Real-Time Data Service Delays: Control-Theoretic Approaches
—It is essential to process real-time data service requests such as stock quotes and trade transactions in a timely manner using fresh data, which represent the current real worl...
Kyoung-Don Kang, Yan Zhou, Jisu Oh