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» Learning to Predict Rare Events in Event Sequences
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COGSCI
2010
85views more  COGSCI 2010»
13 years 7 months ago
The Effects of Feature-Label-Order and Their Implications for Symbolic Learning
Symbols enable people to organize and communicate about the world. However, the ways in which symbolic knowledge is learned and then represented in the mind are poorly understood....
Michael Ramscar, Daniel Yarlett, Melody Dye, Katie...
ICDM
2009
IEEE
97views Data Mining» more  ICDM 2009»
14 years 2 months ago
Hierarchical Probabilistic Segmentation of Discrete Events
—Segmentation, the task of splitting a long sequence of discrete symbols into chunks, can provide important information about the nature of the sequence that is understandable to...
Guy Shani, Christopher Meek, Asela Gunawardana
ISORC
2000
IEEE
14 years 1 days ago
Establishing a Data-Mining Environment for Wartime Event Prediction with an Object-Oriented Command and Control Database
This paper documents progress to date on a research project, the goal of which is wartime event prediction. The paper describes the operational concept, the datamining environment...
Marion G. Ceruti, S. Joe McCarthy
MICCAI
2004
Springer
14 years 8 months ago
An Event-Driven Framework for the Simulation of Complex Surgical Procedures
Existing surgical simulators provide a physical simulation that can help a trainee develop the hand-eye coordination and motor skills necessary for specific tasks, such as cutting ...
Christopher Sewell, Dan Morris, Nikolas H. Blevins...
ICPR
2008
IEEE
14 years 2 months ago
Qualitative analysis of spatio-temporal event detectors
Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely ...
Benedikt Kaiser, Gunther Heidemann