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GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
14 years 3 months ago
Optimizing Topology and Parameters of Gene Regulatory Network Models from Time-Series Experiments
Abstract. In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. Different approaches to infer the dependencies of gene r...
Christian Spieth, Felix Streichert, Nora Speer, An...
APIN
2002
90views more  APIN 2002»
13 years 10 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
OTM
2004
Springer
14 years 3 months ago
Towards a Peer-to-Peer Event Broker Grid in a Hybrid Network Environment
Peer-to-peer networks and grids offer promising paradigms for developing efficient distributed systems and applications. Event-based middleware is becoming a core architectural el...
Eiko Yoneki, Jean Bacon
AAI
2005
117views more  AAI 2005»
13 years 10 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
LCPC
2005
Springer
14 years 3 months ago
Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor’s understanding and beliefs ...
Arkady Epshteyn, María Jesús Garzar&...