Patent US5253333A successfully refreshed from Google Patents.
US5253333A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Attribute value predicting method and system in the learning system
Assignee: Hitachi Ltd
•
Filing: 1990-01-24
•
Granted: 1993-10-12
•
Expires: 2010-01-24
Abstract
Abstract Method and system of predicting attribute value in the learning system, (a) where expected value of equivalent example and its classification class is generated by domain knowledge, with respect to the test example being supplemented with candidates of a plural number of attribute values, in which the attribute lacking part of attribute values can adopt in the learning system, having (i) attribute descriptions containing a plural number of training examples, each of which contains attribute and its attribute value, and such training example and classification class adopted by each training example, and (ii) domain knowledge generating a pair of second example and its classification class from a pair of first example and its classification class, as equivalent example, (b) where classification class of equivalent example generated as above is predicted by decision tree produced based on the above attribute descriptions, and (c) where the attribute value lacking the above test example is predicted by use of the expected value of classification class and the above prediction result with respect to the above equivalent example.
Inventors
- 👤 Masahiro Abe
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-27 18:46
CPC Classifications
G; G06; G06N; G06N5/00; G06N5/02; G06N5/022; G06N5/025; G05; G05B; G05B13/00; G05B13/02; G05B13/0265
Claims Analysis
Total Claims: 7
Claim 1
Independent Claim
202 words
A system of predicting attribute value in a learning system, comprising: first memory means for storing a plural number of training examples, each of which contains at least one attribute, an attribute value corresponding to said attribute, and a classification class assigned to each training example; second memory means for storing domain knowledge for generating second examples, each having a classification class, from first examples, each having a classification class; and processing means including; means for generating test examples being supplemented with candidates of a plural number of attribute values from inputted examples inputted by input/output means, said examples having at least a lacked attribute value, said candidates being expected by consulting said domain knowledge stored in said second memory means, means for generating equivalent examples each having a pair of expected value and a classification class, by consulting said domain knowledge stored in said second memory means, said equivalent examples being expected to be equivalent to said example of the lacked attribute value, and means for predicting the lacked attribute value of the above test example by use of the expected value and the classification class of the above equivalent example and said training examples stores in said first memory means.
Claim 2
Independent Claim
202 words
A system of predicting attribute value in a learning system, comprising: first memory means for storing a plural number of training examples, each of which contains at least one attribute, an attribute value corresponding to said attribute, and a classification class assigned to each training example; second memory means for storing domain knowledge for generating second examples, each having a classification class, from first examples, each having a classification class; and processing means including; means for generating test examples being supplemented with candidates of a plural number of attribute values from inputted examples inputted by input/output means, said examples having at least a lacked attribute value, said candidates being expected by consulting said domain knowledge stored in said second memory means, means for generating equivalent examples each having a pair of expected value and a classification class, by consulting said domain knowledge stored in said second memory means, said equivalent examples being expected to be equivalent to said example of the lacked attribute value, and means for predicting the lacked attribute value of the above test example by use of the expected value and the classification class of the above equivalent example and said training examples stores in said first memory means.
Claim 3
Dependent Claim
31 words
A system according to claim 1, further comprising: means for producing data for predicting classification class of examples from said plural number of training examples stored in said first memory means.
Claim 4
Dependent Claim
17 words
A system according to claim 2, wherein said data for predicting classification class is a decision tree.
Claim 5
Dependent Claim
44 words
A system according to claim 1, further comprising: means for determining a degree of certainty of the lacked attribute value, as predicted above, by use of said expected value and said classification class of said equivalent examples generated by said equivalent examples generated means.
Claim 6
Dependent Claim
34 words
A system according to claim 1, wherein the attribute of each of said training examples further comprises attribute descriptions expressing conditions of an object system and attribute descriptions expressing optimum operation in said conditions.
Claim 7
Dependent Claim
33 words
A system according to claim 1, wherein the attribute of each of said training examples further comprises attribute descriptions expressing conditions of an object system and attribute descriptions expressing causes of said conditions.
References Cited (Backward Citations)
US4176052A
Cited
US4866634A
Cited
US4939648A
Cited
US4905163A
Cited
US5019961A
Cited
US4991118A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 1996-10-11 | 1997-04-12 | 1997-10-12 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2000-10-11 | 2001-04-12 | 2001-10-12 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2004-10-11 | 2005-04-12 | 2005-10-12 | $7700.00 | Window Closed / Lapsed |