Method and apparatus for auditing training supersets

Patent 7107266 Issued on September 12, 2006. Estimated Expiration Date:

October 24, 2021. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Abstract Claims Description Full Text

Patent References

Classification of data records by comparison of records to a training database using probability weights
Patent #: 5251131
Issued on: 10/05/1993
Inventor: Masand, et al.

Pattern recognition system with statistical classification
Patent #: 5537488
Issued on: 07/16/1996
Inventor: Menon, et al.

System and method for determining confidence levels for the results of a categorization system Patent #: 6003027
Issued on: 12/14/1999
Inventor: Prager

Inventors

Assignee

Inxight Software, Inc.

Application

No. 10044711 filed on 10/24/2001

US Classes:

707/6, Pattern matching access707/5, Query augmenting and refining (e.g., inexact access)704/9, Natural language382/170, With pattern recognition or classification707/102, Generating database or data structure (e.g., via user interface)706/15, NEURAL NETWORK707/4, Query formulation, input preparation, or translation706/45, KNOWLEDGE PROCESSING SYSTEM706/20Classification or recognition

Examiners

Primary: Le, Uyen
Assistant: Fernandes, Cheryl M

Attorney, Agent or Firm

International Classes

G06F 17/30
G06F 7/00

Abstract

The present invention includes methods and systems to audit and identify potential errors and/or omissions in a training set. Particular aspects of the present invention are described in the claims, specification and drawings.

Other References

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Yang, Yiming, “An Evaluation of Statistical Approaches to Text Categorization,” Journal of Information Retrieval, vol. 1, No. 1/2 (1999) 67-88.
Yamanishi, Kenji, et al., “On-line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms,” ACM Press, New York, NY (2000) ISBN:1-58113-233-6, 320-324.
Cox, Trevor F., et al., “A Conditioned Distance Ratio Method for Analyzing Spatial Patterns,” Biometrika, vol. 63, Issue 3 (Dec. 1976), 483-491.
Ankerst, Mihael, et al., “Towards an Effective Cooperation of the User and the Computer for Claasification,” ACM Conference on Knowledge Discovery in Data, Proceedings Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Aug. 20-23, 2000, Boston, MA USA, 179-188.
Theodoridis, Sergios et al., Pattern Recognition by S. Thoedoridis and K. Koutroumbas (1999), Academic Press, Chapter 16, “Cluster Validity,” 543-591.