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ESSMAC
2003
Springer
15 years 12 months ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
PDPTA
2010
15 years 4 months ago
Disciplined Multi-core Programming in C
The problem of programmability on modern heterogeneous multicore and future manycore embedded platforms is still not solved satisfactorily: although many existing but incompatible ...
Pjotr Kourzanov, Orlando Moreira, Henk J. Sips
SIGMOD
2010
ACM
149views Database» more  SIGMOD 2010»
15 years 1 months ago
On models and query languages for probabilistic processes
Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such p...
Daniel Deutch, Tova Milo
243
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COLT
1994
Springer
15 years 10 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
KES
2006
Springer
15 years 6 months ago
Integrated Document Browsing and Data Acquisition for Building Large Ontologies
Named entities (e.g., "Kofi Annan", "Coca-Cola", "Second World War") are ubiquitous in web pages and other types of document and often provide a simpl...
Felix Weigel, Klaus U. Schulz, Levin Brunner, Edua...