US 8,200,592 System and method for modeling multilabel classification and ranking
3 defendants · 3 suits · updated October 6, 2026
Also cited as U.S. Patent No. 8,200,592 · US8200592B2 · US 8,200,592 B2 · 8200592 · the '592 patent
Arc Link LLC has filed 3 patent-infringement suits on US 8,200,592, "System and method for modeling multilabel classification and ranking" since June 8, 2026, all in the E.D. Tex., against 3 distinct defendants including Fortinet Inc., Check Point Software Technologies Ltd. and Sophos Limited. The patent is held by Ip3 2023 Series 923 Of Allied Security Trust I and was granted June 12, 2012 on a priority date of February 8, 2006. Its abstract opens: "The present invention provides methods and apparatus for determining and utilizing detection models, such as models for machine condition monitoring."
- Assignee
- Ip3 2023 Series 923 Of Allied Security Trust I
- Priority date
- February 8, 2006
- Granted
- June 12, 2012
- Expires
- February 8, 2026
- Status
- Active
- Claims
- 31 (5 independent)
- Inventors
- Klaus Brinker, Claus Neubauer
- Full text
- Google Patents
The suits
3 cases · E.D. Tex. (3)
| Filed | Defendant | Plaintiff | Court | Docket |
|---|---|---|---|---|
| 2026-06-08 | Fortinet Inc. | Arc Link LLC | E.D. Tex. | 2:26-cv-00451 |
| 2026-06-17 | Check Point Software Technologies Ltd. | Arc Link LLC | E.D. Tex. | 2:26-cv-00476 |
| 2026-06-18 | Sophos Limited | Arc Link LLC | E.D. Tex. | 2:26-cv-00490 |
Docket links open the public record on CourtListener. Filing dates are the complaint's.
Independent claims
What is actually asserted, verbatim.
1. A method for creating a model comprising: receiving a set of labels; ranking the set of labels; partitioning, by a processor, the ranked set of labels into a first subset of labels and a second subset of labels; and, inserting, by a processor, a zero-point label between the first subset of labels and the second subset of labels, wherein the zero-point label represents a split point between the first subset of labels and the second subset of labels.
8. An apparatus for creating a model comprising: means for receiving a set of labels; means for ranking the set of labels; means for partitioning the ranked set of labels into a first subset of labels and a second subset of labels; and, means for inserting a zero-point label between the first subset of labels and the second subset of labels, wherein the zero-point label represents a split point between the first subset of labels and the second subset of labels.
15. A computer program product for creating a model comprising: a non-transitory medium readable by a computer, the computer readable medium having computer program code adapted to: receive a set of labels; rank the set of labels; receive partition information for the ranked set of labels, wherein the partition information partitions the ranked set of labels into a first subset of labels and a second subset of labels; receive zero-point information for the ranked set of labels, wherein the zero-point information inserts a zero-point label between the first subset of labels and the second subset of labels, wherein the zero-point label represents a split point between the first subset of labels and the second subset of labels; and, produce a model based on the received partition information and the received zero-point information.
20. A method of machine condition monitoring comprising: monitoring a plurality of sensors adapted to detect machine condition information; evaluating the machine condition information by employing a calibrated label ranking model predicting a zero-point label between a first subset of labels and a second subset of labels, wherein the zero-point label represents a split point between the first subset of labels and the second subset of labels; and, outputting an evaluated machine condition from the calibrated label ranking model based on the machine condition information.
26. A system for machine condition monitoring comprising: a plurality of machine sensors adapted to detect machine condition information; and, an evaluator adapted to: receive machine condition information from the plurality of machine sensors; employ a calibrated label ranking model predicting a zero-point label between a first subset of labels and a second subset of labels, wherein the zero-point label represents a split point between the first subset of labels and the second subset of labels; and, output an evaluated machine condition from the calibrated label ranking model based on the machine condition information.
Classification
- G05B13/048primary — Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
- G05B23/0245 — Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
Family
- US8200592B2 — B2 (2012)
- US20070198507A1 — A1 (2007)
Abstract
The present invention provides methods and apparatus for determining and utilizing detection models, such as models for machine condition monitoring. Specifically, the present invention provides a method for identifying and prioritizing labeled data. The model 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 a relevance zero-point. 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.
Also asserted by Arc Link LLC
- US 11,563,655 — Network monitoring apparatus and method thereof in programmable network virtualization (3 defendants)
- US 9,549,328 — Method to optimize the communication parameters between an access point and at least one client device (3 defendants)
- US 9,552,548 — Using classified text and deep learning algorithms to identify risk and provide early warning (3 defendants)
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