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» Depth-based inference for functional data
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ICML
2008
IEEE
15 years 10 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
ICONIP
2009
14 years 7 months ago
Learning Gaussian Process Models from Uncertain Data
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
ALT
2010
Springer
14 years 11 months ago
Towards General Algorithms for Grammatical Inference
Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of ...
Alexander Clark
SEMWEB
2004
Springer
15 years 2 months ago
Inferring Data Transformation Rules to Integrate Semantic Web Services
Abstract. OWL-S allows selecting, composing and invoking Web Serdifferent levels of abstraction: selection uses high level abstract descriptions, invocation uses low level groundi...
Bruce Spencer, Sandy Liu
ACSAC
2008
IEEE
15 years 4 months ago
Automatic Inference and Enforcement of Kernel Data Structure Invariants
Kernel-level rootkits affect system security by modifying key kernel data structures to achieve a variety of malicious goals. While early rootkits modified control data structur...
Arati Baliga, Vinod Ganapathy, Liviu Iftode