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» Approximate algorithms for neural-Bayesian approaches
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EVOW
2006
Springer
15 years 1 months ago
A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Matthieu Basseur, Eckart Zitzler
LWA
2007
14 years 11 months ago
Parameter Learning for a Readability Checking Tool
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
Tim vor der Brück, Johannes Leveling
ICRA
2009
IEEE
218views Robotics» more  ICRA 2009»
14 years 7 months ago
Automatically and efficiently inferring the hierarchical structure of visual maps
In Simultaneous Localisation and Mapping (SLAM), it is well known that probabilistic filtering approaches which aim to estimate the robot and map state sequentially suffer from poo...
Margarita Chli, Andrew J. Davison
RECOMB
2004
Springer
15 years 10 months ago
The evolutionary capacity of protein structures
In nature, one finds large collections of different protein sequences exhibiting roughly the same three-dimensional structure, and this observation underpins the study of structur...
Leonid Meyerguz, David Kempe, Jon M. Kleinberg, Ro...
ICDE
2009
IEEE
159views Database» more  ICDE 2009»
15 years 4 months ago
ApproxRank: Estimating Rank for a Subgraph
Abstract— Customized semantic query answering, personalized search, focused crawlers and localized search engines frequently focus on ranking the pages contained within a subgrap...
Yao Wu, Louiqa Raschid