System and method for case-based multilabel classification...

Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique

Reexamination Certificate

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C706S045000

Reexamination Certificate

active

07860818

ABSTRACT:
The present invention provides methods and apparatus for determining and utilizing case-based ranking methods, such as methods for machine condition monitoring. Specifically, the present invention provides a method for identifying and prioritizing labeled data. The method allows a monitored system to be associated with a calibrated and ordered set of states. Further, in machine condition monitoring, the machine condition is associated with the entire set of states in a particular order with one or more relevance zero-points. That is, a ranked set of calibrated data describing machine conditions is augmented with an annotation indicating a cut-off between relevant and non-relevant data.

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Brinker, K et al., “A Unified Model for Multilabel Classification and Ranking”, In Proceedings of the 17th European Conference on Artifical Intelligence, 2006.
Dwork, Cynthia et al., “Rank Aggregation Revisited”, downloaded from http://citeseer.ist.psu.edu/cache/papers/cs/23611/http:zSzzSzwww.cs.berkeley.eduzSz˜christoszSzgameszSzreadingszSzrank.pdf/rank-aggregation-revisited.pdf, downloaded on Jun. 15, 2007.
Fagin, Ronald et al., “Comparing and Aggregating Rankings with Ties”, In Proceedings of 23rd ACM Symposium of PODS, pp. 47-58, 2004.
Furnkranz, Johannes et al., “Pairwise Preference Learning and Ranking”, In Proceedings of ECML, pp. 145-156, 2003.
Hullermeier, Eyke et al., “Comparison of Ranking Procedures in Pairwise Preference Learning”. In IPMU-04, pp. 535-542, 2004.

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