System and Method for Case-Based Multilabel Classification and Ranking
First Claim
1. A case-based method of multilabel ranking comprising:
- receiving a set of labels partitioned into a first subset of labels and a second subset of labels;
inserting one or more zero-points between the first subset of labels and the second subset of labels;
determining generalized ranks for the labels and the one or more zero-points within the first subset of labels and the second subset of labels;
aggregating the generalized ranks; and
determining a consensus ranking for the labels based on the aggregated generalized ranks for the labels.
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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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Citations
25 Claims
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1. A case-based method of multilabel ranking comprising:
- receiving a set of labels partitioned into a first subset of labels and a second subset of labels;
inserting one or more zero-points between the first subset of labels and the second subset of labels;
determining generalized ranks for the labels and the one or more zero-points within the first subset of labels and the second subset of labels;
aggregating the generalized ranks; and
determining a consensus ranking for the labels based on the aggregated generalized ranks for the labels. - View Dependent Claims (2, 3, 4, 5, 6, 7)
- receiving a set of labels partitioned into a first subset of labels and a second subset of labels;
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8. An apparatus for case-based multilabel ranking comprising:
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means for receiving a set of labels partitioned into a first subset of labels and a second subset of labels;
means for inserting one or more zero-points between the first subset of labels and the second subset of labels;
means for determining generalized ranks for the labels within the first subset of labels and the second subset of labels;
means for aggregating the generalized ranks; and
means for determining a consensus ranking for the labels based on the aggregated generalized ranks for the labels. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A machine readable medium having program instructions stored thereon, the instructions capable of execution by a processor and defining the steps of:
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receiving a set of labels partitioned into a first subset of labels and a second subset of labels;
inserting one or more zero-points between the first subset of labels and the second subset of labels;
determining generalized ranks for the labels within the first subset of labels and the second subset of labels;
aggregating the generalized ranks; and
determining a consensus ranking for the labels based on the aggregated generalized ranks for the labels. - View Dependent Claims (16, 17, 19, 20, 21)
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18. The machine readable medium of claim 18 wherein the average overall position σ
- (i) of a label λ
i is
- (i) of a label λ
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22. A method of machine condition monitoring comprising:
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monitoring a plurality of sensors adapted to detect machine condition information;
evaluating the machine condition information by employing a case-based multilabel algorithm predicting a zero-point between a first subset of labels and a second subset of labels; and
,outputting an evaluated machine condition from the case-based multilabel algorithm with a zero-point between the first subset of labels and the second subset of labels based on the machine condition information. - View Dependent Claims (23, 24, 25)
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Specification