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» Modelling Smooth Paths Using Gaussian Processes
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IJON
1998
102views more  IJON 1998»
15 years 1 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»
15 years 1 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
13 years 3 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
15 years 1 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»
14 years 8 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