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ADMI
2010
Springer
15 years 2 months ago
Real-Time Sensory Pattern Mining for Autonomous Agents
Abstract. Autonomous agents are systems situated in dynamic environments. They pursue goals and satisfy their needs by responding to external events from the environment. In these ...
Pedro Sequeira, Cláudia Antunes
100
Voted
IEAAIE
2009
Springer
15 years 9 months ago
Robust Singular Spectrum Transform
Change Point Discovery is a basic algorithm needed in many time series mining applications including rule discovery, motif discovery, casual analysis, etc. Several techniques for c...
Yasser F. O. Mohammad, Toyoaki Nishida
118
Voted
IAT
2009
IEEE
15 years 10 months ago
STORIES in Time: A Graph-Based Interface for News Tracking and Discovery
—We present the STORIES methods and tool for (a) an abstracted story representation from a collection of time-indexed documents; (b) visualising it in a way that encourages users...
Bettina Berendt, Ilija Subasic
70
Voted
COLING
1996
15 years 4 months ago
Unsupervised Discovery of Phonological Categories through Supervised Learning of Morphological Rules
We describe a case study in tit(', application of symbolic machinc learning techniques for the discow;ry of linguistic rules and categories. A supervised rule induction algor...
Walter Daelemans, Peter Berck, Steven Gillis
BIB
2008
109views more  BIB 2008»
15 years 3 months ago
Computational intelligence approaches for pattern discovery in biological systems
Biology, chemistry and medicine are faced by tremendous challenges caused by an overwhelming amount of data and the need for rapid interpretation. Computational intelligence (CI) ...
Gary B. Fogel