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» Gaussian processes with monotonicity information
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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 2 months ago
Learning Preferences with Hidden Common Cause Relations
Abstract. Gaussian processes have successfully been used to learn preferences among entities as they provide nonparametric Bayesian approaches for model selection and probabilistic...
Kristian Kersting, Zhao Xu
ICASSP
2009
IEEE
13 years 11 months ago
Dirichlet process mixture models with multiple modalities
The Dirichlet process can be used as a nonparametric prior for an infinite-dimensional probability mass function on the parameter space of a mixture model. The set of parameters o...
John William Paisley, Lawrence Carin
CCS
2007
ACM
14 years 1 months ago
An algorithm for the appraisal of assurance indicators for complex business processes
In order to provide certified security services we must provide indicators that can measure the level of assurance that a complex business process can offer. Unfortunately the fo...
Fabio Massacci, Artsiom Yautsiukhin
DEBS
2008
ACM
13 years 9 months ago
Real-time, load-adaptive processing of continuous queries over data streams
We introduce a new type of query, called a real-time continuous query (RCQ), that captures the real-time requirements of processing data streams. We develop techniques to efficien...
Dhananjay Kulkarni, Chinya V. Ravishankar, Mitch C...
ICIP
2004
IEEE
14 years 9 months ago
Practical low bit rate predictive image coder using multi-rate processing and adaptive entropy coding
The modified Differential Pulse Coded Modulation (DPCM) codec with multi-rate processing has been shown to able to code source with monotonically decreasing spectrum efficiently a...
Anna N. Kim, Tor A. Ramstad