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Results: 1-20 of 27

	Label	Dataset	Type	Identifier
1.	Thompson's HR compliance expert. Employer's handbook: Complying with IRS employee benefits rules	BIBFRAME Works	Work Text Integrating	18068335

2.	Thompson's HR compliance expert. Employer's guide to fringe benefit rules	BIBFRAME Works	Work Text Integrating	18126789

3.	Thompson's HR compliance expert. Employer's guide to fringe benefit rules Bethesda, MD: Thompson Information Serivces; 2012-	BIBFRAME Instances	Instance	18126789

4.	Thompson's HR compliance expert. Employer's handbook: Complying with IRS cmployee benefits rules Bethesda, MD: Thompson Information Serivces	BIBFRAME Instances	Instance	18068335

5.	Geyer-Schulz, Andreas Fuzzy rule-based expert systems and genetic machine learning Heidelberg: Physica-Verlag; c1995	BIBFRAME Instances	Instance	1625428

6.	Meyer, Peter M., 1951- Using interactive recursive partitioning to improve rule-based expert systems 1993	BIBFRAME Instances	Instance	3501293

7.	Smith, Suzanne, 1953- Verification and validation of rule-based expert systems Boca Raton, Fla: CRC Press; c1993	BIBFRAME Instances	Instance	4413183

8.	Buchanan, Bruce G. Rule-based expert systems Reading, Mass: Addison-Wesley; c1984	BIBFRAME Instances	Instance	4714837

9.	America's petroleum industries pour out fuel and lubricants for the United Nations. A geologist, employed by one of the important U.S. oil companies, surveys, with the help of his "rod man" standing on the ridge in the background, a section of land to detect the presence of a possible oil deposit under the ground. "Hit or miss" methods of drilling for oil were discarded long ago in the United States. Today careful preliminary surveys and test borings precede the sinking of most oil wells. Geology experts of the important oil companies are able as a rule to read the surface of the ground accurately for the detection of oil deposits. The industry's efficient methods of finding oil have resulted in the enormous amounts of oil produced. According to a U.S. oil company official, the predictable U.S. oil total for the year 1944 will be 1,601,250,000 barrels, a great part of which will supply the armed forces of the United Nations 1944?	BIBFRAME Instances	Instance	20084509

10.	America's petroleum industries pour out fuel and lubricants for the United Nations. A geologist, employed by one of the important U.S. oil companies, surveys, with the help of his "rod man" standing on the ridge in the background, a section of land to detect the presence of a possible oil deposit under the ground. "Hit or miss" methods of drilling for oil were discarded long ago in the United States. Today careful preliminary surveys and test borings precede the sinking of most oil wells. Geology experts of the important oil companies are able as a rule to read the surface of the ground accurately for the detection of oil deposits. The industry's efficient methods of finding oil have resulted in the enormous amounts of oil produced. According to a U.S. oil company official, the predictable U.S. oil total for the year 1944 will be 1,601,250,000 barrels, a great part of which will supply the armed forces of the United Nations	BIBFRAME Works	Work StillImage Collection	20084509

11.	Ignizio, James P. Introduction to expert systems New York: McGraw-Hill; c1991	BIBFRAME Instances	Instance	4359986

12.	VP-Expert Berkeley, California: Paperback Software; [1987]	BIBFRAME Instances	Instance	18835046

13.	Geyer-Schulz, Andreas Fuzzy rule-based expert systems and genetic machine learning	BIBFRAME Works	Work Text Monograph	1625428

14.	Meyer, Peter M., 1951- Using interactive recursive partitioning to improve rule-based expert systems	BIBFRAME Works	Work Text Monograph	3501293

15.	Smith, Suzanne, 1953- Verification and validation of rule-based expert systems	BIBFRAME Works	Work Text Monograph	4413183

16.	Rule-based expert systems	BIBFRAME Works	Work Text Monograph	4714837

17.	Hubbard, Sally (Antitrust expert) Monopolies suck New York, NY: Simon & Schuster; [2020]	BIBFRAME Instances	Instance	21641940

18.	Hubbard, Sally (Antitrust expert) Monopolies suck New York, NY: Simon & Schuster; [2020]	BIBFRAME Instances	Instance	21650534

19.	Desai, Deval, 1984- Expert ignorance Cambridge, United Kingdom; New York, NY: Cambridge University Press; 2023	BIBFRAME Instances	Instance	22914362

20.	Brownston, Lee Programming expert systems in OPS5 Reading, Mass: Addison-Wesley; c1985	BIBFRAME Instances	Instance	4260328

Results: 1-20 of 27

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