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AIEDAM
1998
87views more  AIEDAM 1998»
13 years 9 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
SOUPS
2009
ACM
14 years 3 months ago
Challenges in supporting end-user privacy and security management with social navigation
Social navigation is a promising approach for supporting privacy and security management. By aggregating and presenting the choices made by others, social navigation systems can p...
Jeremy Goecks, W. Keith Edwards, Elizabeth D. Myna...
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
13 years 10 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
CRV
2009
IEEE
153views Robotics» more  CRV 2009»
14 years 4 months ago
Optimal Online Data Sampling or How to Hire the Best Secretaries
The problem of online sampling of data, can be seen as a generalization of the classical secretary problem. The goal is to maximize the probability of picking the k highest scorin...
Yogesh Girdhar, Gregory Dudek
ECAL
2005
Springer
14 years 2 months ago
Evolving Neural Mechanisms for an Iterated Discrimination Task: A Robot Based Model
This paper is about the design of an artificial neural network to control an autonomous robot that is required to iteratively solve a discrimination task based on time-dependent s...
Elio Tuci, Christos Ampatzis, Marco Dorigo