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» Computational Techniques for Modelling Learning in Economics
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ECCV
2006
Springer
16 years 1 months ago
Tracking Objects Across Cameras by Incrementally Learning Inter-camera Colour Calibration and Patterns of Activity
This paper presents a scalable solution to the problem of tracking objects across spatially separated, uncalibrated, non-overlapping cameras. Unlike other approaches this technique...
Andrew Gilbert, Richard Bowden
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
15 years 6 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
ACL
2010
14 years 9 months ago
Open-Domain Semantic Role Labeling by Modeling Word Spans
Most supervised language processing systems show a significant drop-off in performance when they are tested on text that comes from a domain significantly different from the domai...
Fei Huang, Alexander Yates
CONEXT
2006
ACM
15 years 5 months ago
Learning for accurate classification of real-time traffic
Accurate network traffic classification is an important task. We intend to develop an intelligent classification system by learning the types of service inside a network flow usin...
Wei Li, Andrew W. Moore
IJCAI
2003
15 years 1 months ago
A Learning Algorithm for Web Page Scoring Systems
Hyperlink analysis is a successful approach to define algorithms which compute the relevance of a document on the basis of the citation graph. In this paper we propose a technique...
Michelangelo Diligenti, Marco Gori, Marco Maggini