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» Machine Learning in Medical Applications
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127
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MICCAI
2006
Springer
16 years 4 months ago
The Entire Regularization Path for the Support Vector Domain Description
Abstract. The support vector domain description is a one-class classification method that estimates the shape and extent of the distribution of a data set. This separates the data ...
Karl Sjöstrand, Rasmus Larsen
129
Voted
MICCAI
2001
Springer
15 years 8 months ago
A Microsurgery Simulation System
Computer systems for surgical planning and training are poised to greatly impact the traditional versions of these tasks. These systems provide an opportunity to learn surgical tec...
Joel Brown, Kevin Montgomery, Jean-Claude Latombe,...
129
Voted
ARTMED
2006
75views more  ARTMED 2006»
15 years 3 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
118
Voted
IFIP
1994
Springer
15 years 7 months ago
From AI Technology Research to Applications
Focusing on examples of knowledge systems and machine learning, this paper illustrates the transfer of AI technology from science to real-world applications. Decades of AI researc...
Armin B. Cremers, Sebastian Thrun, Wolfram Burgard
137
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AAAI
2011
14 years 3 months ago
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich