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Eugene M Fluder, Age 758 Douglas Ct, Trenton, NJ 08690

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Gene M Fluder
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Eugen M Fluder

Eugene Fluder Phones & Addresses

8 Douglas Ct, Trenton, NJ 08690 (609) 890-7826

8 Douglas Ave, Trenton, NJ 08690 (609) 890-7826

Hamilton Square, NJ

Brighton, MA

Hazlet, NJ

Calumet City, IL

Media, PA

Blue Island, IL

8 Douglas Ct, Trenton, NJ 08690 (609) 970-7060

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Position: Technicians and Related Support Occupations

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e***[email protected]

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Eugene Fluder Photo 10

Latent Semantic Structure Indexing

LaSSI was developed at Merck & Co. and patented in 2007 by Richard Hull, Eugene Fluder, Suresh Singh, Robert Sheridan, Robert Nachbar and Simon Kearsley.

Us Patents

Text Influenced Molecular Indexing System And Computer-Implemented And/Or Computer-Assisted Method For Same

US Patent:
6332138, Dec 18, 2001
Filed:
Jul 24, 2000
Appl. No.:
9/624209
Inventors:
Richard D. Hull - Orlando FL
Eugene M. Fluder - Hamilton Square NJ
Suresh B. Singh - Kendall Park NJ
Assignee:
Merck & Co., Inc. - Rahway NJ
International Classification:
G06F 1730
G06N 700
US Classification:
707 5
Abstract:
An extension of the vector space model for computing chemical similarity using textual and chemical descriptors is described. The method uses a chemical and/or textual description of a molecule/chemical and a decomposes a molecule/chemical descriptor matrix by a suitable technique such as singular value decomposition to create a low dimensional representation of the original descriptor space. Similarities between a user probe and the textual and/or chemical descriptors are then computed and ranked.

Text Influenced Molecular Indexing System And Computer-Implemented And/Or Computer-Assisted Method For Same

US Patent:
2002008, Jul 4, 2002
Filed:
Aug 10, 2001
Appl. No.:
09/925636
Inventors:
Richard Hull - Orlando FL, US
Eugene Fluder - Hamilton Square NJ, US
Suresh Singh - Kendall Park NJ, US
Assignee:
Merck & Co., Inc.
International Classification:
G06F007/00
US Classification:
707/001000
Abstract:
An extension of the vector space model for computing chemical similarity using textual and chemical descriptors is described. The method uses a chemical and/or textual description of a molecule/chemical and a decomposes a molecule/chemical descriptor matrix by a suitable technique such as singular value decomposition to create a low dimensional representation of the original descriptor space. Similarities between a user probe and the textual and/or chemical descriptors are then computed and ranked.

Possible Relatives

Anthony A Fluder  Eugene F Johnston  Eugene C Stang  Eugene F White  Eugene W Staples  Eugene D Starks  Eugene C Starner  Eugene R Whitfield  Eugene V Whiting  Eugene M Stein 

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