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NIPS
2008
15 years 8 months ago
Sparse Convolved Gaussian Processes for Multi-output Regression
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
Mauricio Alvarez, Neil D. Lawrence
IDEAS
2003
IEEE
102views Database» more  IDEAS 2003»
15 years 12 months ago
Pushing Quality of Service Information and Requirements into Global Query Optimization
In recent years, a lot of research effort has been dedicated to the management of Quality of Service (QoS), mainly in the fields of telecommunication networks and multimedia syste...
Haiwei Ye, Brigitte Kerhervé, Gregor von Bo...
CHI
2009
ACM
16 years 1 months ago
'Broken Expectations' from a global business perspective
Especially in the past few years, there has been an increase in the rejection rate of interactive consumer electronics products in the field, not due to broken hardware or softwar...
Aylin Koca, Evangelos Karapanos, Aarnout Brombache...
PE
2011
Springer
167views Optimization» more  PE 2011»
15 years 1 months ago
Passage-time computation and aggregation strategies for large semi-Markov processes
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
Marcel C. Guenther, Nicholas J. Dingle, Jeremy T. ...
DAC
2002
ACM
16 years 7 months ago
A framework for evaluating design tradeoffs in packet processing architectures
We present an analytical method to evaluate embedded network packet processor architectures, and to explore their design space. Our approach is in contrast to those based on simul...
Lothar Thiele, Matthias Gries, Samarjit Chakrabort...