Data processing: artificial intelligence – Machine learning
Reexamination Certificate
2007-09-18
2007-09-18
Hirl, Joseph P (Department: 2121)
Data processing: artificial intelligence
Machine learning
Reexamination Certificate
active
11005136
ABSTRACT:
In one embodiment, a method includes converting unsupervised data into supervised data using multiple processes and training multiple supervised classifiers with the supervised data of the processes. In such manner, supervised classifiers may be used to classify unsupervised data. Affinity measures may be determined and data clustered using the resulting trained classifiers. Other embodiments are described and claimed.
REFERENCES:
patent: 5675710 (1997-10-01), Lewis
patent: 6363160 (2002-03-01), Bradski et al.
patent: 6394557 (2002-05-01), Bradski
Andrew W. Moore “K-means and Hierarchical Clustering” www.cs.cmu.edu. Nov. 16, 2001.
D. Comaniciu and P. Meer, “Distribution free decomposition of multivariate data”, Pattern Analysis & Applications. vol. 2. pp. 22-30. 1999.
Wald, Lecture II, “Looking inside the Black Box”, Leo Breiman, http://stat-www.berkeley.edu/users/breiman/wasI2002-2.pdf. pp. 19-35. Feb. 2002.
Andrew Y. Ng, Michael I. Jordan, Yair Weiss. “On Special Clustering: Analysis and an algorithm”. 2001.
E.M. Kleinberg, “On the algorithmic implementation of stochastic discrimination”, IEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-22, May 5, 2000, Abstract.
Dechang Chen, Peng Huang and Xiuzhen Cheng. “A concrete statistical realization of Kleinberg's stochastic discrimination for pattern recognition. Part I. Two-class classification” Source: Ann. Statistic. 31 (2003), No. 5. Abstract.
Hirl Joseph P
Holmes Michael B.
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