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» INSPIRE: A New Method of Mapping Information Spaces
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NIPS
2008
14 years 11 months ago
Multi-resolution Exploration in Continuous Spaces
The essence of exploration is acting to try to decrease uncertainty. We propose a new methodology for representing uncertainty in continuous-state control problems. Our approach, ...
Ali Nouri, Michael L. Littman
ICAISC
2004
Springer
15 years 3 months ago
Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods
Abstract. Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visual...
Wlodzislaw Duch
TIP
2008
125views more  TIP 2008»
14 years 9 months ago
Segmentation by Fusion of Histogram-Based K-Means Clusters in Different Color Spaces
Abstract--This paper presents a new, simple, and efficient segmentation approach, based on a fusion procedure which aims at combining several segmentation maps associated to simple...
Max Mignotte
SAC
2005
ACM
15 years 3 months ago
LighTS: a lightweight, customizable tuple space supporting context-aware applications
The tuple space model inspired by Linda has recently been rediscovered by distributed middleware. Moreover, some researchers also applied it in the challenging scenarios involving...
Gian Pietro Picco, Davide Balzarotti, Paolo Costa
PPSN
2000
Springer
15 years 1 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...