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• 15 United States
• 10 France
• 8 Japan
• 7 China
• 5 Korea
• 2 Other

Patent Owner(s)

Patent Owner	Address
HUNTER DOUGLAS INC	1 BLUE HILL PLAZA PEARL RIVER NY 10965

International Classification(s)

• E06B:FIXED OR MOVABLE CLOSURES FOR OPENINGS IN BUILDING....
• A47H:FURNISHINGS FOR WINDOWS OR DOORS

• 2011 Application Filing Year
• E06B Class
• 528 Applications Filed
• 346 Patents Issued To-Date
• 65.54 % Issued To-Date

Inventor(s)

Inventor Name	Address	# of filed Patents	Total Citations
Anderson, Richard N	Whitesville, US	166	2891
# of filed Patents : 166 Total Citations : 2891
Fisher,, II Robert E	Owensboro, US	24	324
# of filed Patents : 24 Total Citations : 324
Fraser, Donald E	Owensboro, US	59	1227
# of filed Patents : 59 Total Citations : 1227
Haarer, Stephen R	Whitesville, US	14	136
# of filed Patents : 14 Total Citations : 136

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Patent Citation Ranking

• 16 Citation Count
• E06B Class

• 77.35 % this patent is cited more than
• 11 Age

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Fee	Large entity fee	small entity fee	micro entity fee	due date
11.5 Year Payment	$7400.00	$3700.00	$1850.00	Dec 17, 2025

Fee	Large entity fee	small entity fee	micro entity fee
Surcharge - 11.5 year - Late payment within 6 months	$160.00	$80.00	$40.00
Surcharge after expiration - Late payment is unavoidable	$700.00	$350.00	$175.00
Surcharge after expiration - Late payment is unintentional	$1,640.00	$820.00	$410.00

DATE PUBLISHED	PUBLICATION/PATENT NO.	PUBLICATION TYPE
June 17, 2014	US,8752607,B2   US8752607B2	GRANTED PATENT AS SECOND PUBLICATION
October 25, 2012	US,20120267060,A1   US20120267060A1	FIRST PUBLISHED PATENT APPLICATION

Full Text

US Patent Application No: 2024/0070,476

OPTIMAL CONSTRAINED MULTIWAY SPLIT CLASSIFICATION TREE

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Abstract

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A computer-implemented machine learning method includes accessing a decision tree associated with a path-based machine learning model. The decision tree is split into a plurality of multiway decision trees in a path-based formulation, each of the plurality of decision trees having an attribute not occurring more than once in each of the plurality of decision trees. A problem associated with the machine learning model is solved using one or more of the plurality of decision trees in which one or more decision rules of the decision tree are mapped using a mixed-integer program (MIPS).

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Description

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Claims

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