Data processing: artificial intelligence – Miscellaneous
Reexamination Certificate
2005-03-15
2005-03-15
Knight, Anthony (Department: 2121)
Data processing: artificial intelligence
Miscellaneous
C706S046000, C345S595000, C345S215000
Reexamination Certificate
active
06868412
ABSTRACT:
A computer implemented means for and method of displaying a visual decision tree model in a symbol-based table is disclosed. This visual model includes a plurality of visual objects each of the visual objects being linked to at least one other object to form a decision tree. The invention is characterized in that after the initial object the tree displays only visual objects that depend from objects which have been selected by a user. Thus, the device displays only the path selected.
REFERENCES:
patent: 5251125 (1993-10-01), Karnowski et al.
patent: 5495567 (1996-02-01), Iizawa et al.
patent: 5583758 (1996-12-01), McIlroy et al.
patent: 5623613 (1997-04-01), Rowe et al.
patent: 5704051 (1997-12-01), Lane et al.
patent: 5754738 (1998-05-01), Saucedo et al.
patent: 5768581 (1998-06-01), Cochran
patent: 5822587 (1998-10-01), McDonald et al.
patent: 5933140 (1999-08-01), Strahorn et al.
patent: 5933704 (1999-08-01), Hwang et al.
patent: 5987247 (1999-11-01), Lau
patent: 5995979 (1999-11-01), Cochran
patent: 6023578 (2000-02-01), Birsan et al.
patent: 6091893 (2000-07-01), Fintel et al.
patent: 6151565 (2000-11-01), Lobley et al.
patent: 6269355 (2001-07-01), Grimse et al.
patent: 6314415 (2001-11-01), Mukherjee
patent: 6324536 (2001-11-01), Rofrano
patent: 6327586 (2001-12-01), Kisiel
patent: 6343265 (2002-01-01), Glebov et al.
patent: 6353817 (2002-03-01), Jacobs et al.
patent: 6430545 (2002-08-01), Honarvar et al.
patent: 6631361 (2003-10-01), O'Flaherty et al.
patent: 20010011260 (2001-08-01), Skaanning et al.
patent: 20010047355 (2001-11-01), Anwar
patent: 20020019971 (2002-02-01), Zygmont et al.
patent: 20020023064 (2002-02-01), Grimse et al.
patent: 20020065856 (2002-05-01), Kisiel
patent: 20020107824 (2002-08-01), Ahmed
patent: 20030065635 (2003-04-01), Sahami et al.
patent: 20030172043 (2003-09-01), Guyon et al.
Santha, M., “On the Monte Carlo Boolean Decision Tree Complexity of Read-Once Formulae”, Proceedings of the 6th Annual Structure in Complexity Theory Conference, Jul. 1991, pp. 180-187.*
Ben-Asher et al., “Decision Trees with AND, OR Queries”, Proceedings of the 10th Annual IEEE Structure in Complexity Theor Conference, Jun. 1995, pp. 74-81.*
Hajnal, P., “On Power of Randomness in the Decision Tree Model”, Proceedings of the 5th Annual Structure in Complexity Theory Conference, Jul. 1990, pp. 66-77.*
Lovasz et al., “Search Problems in the Decision Tree Model”, 32nd Annual Symposium on Foundations in Computer Science, Oct. 1991, pp. 576-585.*
MacArthur et al., “Relevance Feedback Decision Trees in Content-Based Image Retrieval”, IEEE Workshop on Content-Based Access of Image and Video Libraries, Jun. 12, 2000.*
Holmes et al., “A Diagnostic Tool for Tree Based Supervised Classification Learning Algorithms”, 6th International Conference on Neural Information Processing, Nov. 1999, vol. 2.*
Hall et al., “Decision Tree Learning on Very Large Data Sets”, 1998 IEEE International Conference on Systems, man and Cybernetics, Oct. 1998, vol. 3, pp. 2579-2584.*
Khoshgoftaar et al., “A Tree-Based Classification Model for Analysis of a Military Software System”, Proceedings of the IEEE High-Assurance Systems Engineering Workshop, Oct. 1996, pp. 244-251.*
Dillon et al., “Risk of Extreme Events Via Multiobjective Decision Trees: Application to Telecommunications”, IEEE Transaction on Systems, Man and Cybernetics—Part A: Systems and Humans, vol. 26, No 2, Mar. 1996.*
Demsar et al., “Using Machine Learning for Content-Based Image Retrieval”, Proceedings of the 13th International Conference on Pattern Recognition, Aug. 1996, vol. 4, pp. 138-142.*
Boekelder et al., “Selecting and Switching: Some Advantages of Diagrams Over Tables and Lists for Presenting Instructions”, IEEE Transactions on Professional Communication, vol. 41, No 4, Dec. 1998.*
Li et al., “Investment Decision Making Using FGP: A Case Study”, Proceedings of the 1999 Congress on Evolutionary Computation, Jul. 1999, vol. 2.
Buxton Ian P.
Gatehouse Monty
Schipper Hendrik J.
Booker Kelvin
Knight Anthony
NCR Corporation
Priest & Goldstein PLLC
LandOfFree
Means for and method of displaying a visual decision tree model does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Means for and method of displaying a visual decision tree model, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Means for and method of displaying a visual decision tree model will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3383035