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ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
16 years 1 months ago
A Bayesian framework for optimal motion planning with uncertainty
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
ICDM
2007
IEEE
106views Data Mining» more  ICDM 2007»
16 years 1 months ago
High-Speed Function Approximation
We address a new learning problem where the goal is to build a predictive model that minimizes prediction time (the time taken to make a prediction) subject to a constraint on mod...
Biswanath Panda, Mirek Riedewald, Johannes Gehrke,...
BTW
2007
Springer
119views Database» more  BTW 2007»
16 years 27 days ago
Change Management in Large Information Infrastructures - Representing and Analyzing Arbitrary Metadata
Abstract: With information infrastructures getting more and more complex, it becomes necessary to give automated support for managing the evolution of the infrastructure. If change...
Boris Stumm, Stefan Dessloch
GECCO
2007
Springer
169views Optimization» more  GECCO 2007»
16 years 27 days ago
An evolutionary platform for developing next-generation electronic circuits
In this paper, a new method for evolving simple electronic circuits is discussed, with the aim of improving the reliability and performance of basic circuit blocks. Next-generatio...
James A. Hilder, Andy M. Tyrrell
IBPRIA
2007
Springer
16 years 27 days ago
Region-Based Pose Tracking
Abstract. This paper introduces a technique for region-based pose tracking without the need to explicitly compute contours. We assume a surface model of a rigid object and at least...
Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, D...