DR. JONATHAN JAMES CARLSON, N.D.
Dietitian and Nutritionist at Firlands Way, Seattle, WA

License number
Washington NT 60633670
Category
Naturopathic
Type
Naturopath
Address
Address
18528 Firlands Way N SUITE D, Seattle, WA 98133
Phone
(206) 629-4343
(206) 801-7365 (Fax)
(206) 817-3794

Professional information

Jonathan Carlson Photo 1

Jonathan Carlson

Work:
Tomra Sorting Solutions
Mechanical Assembly Technician
Intellisource/Specialty Sports Venture - Aurora, CO
Special Orders Clerk
Covert Ops Audio - Seattle, WA
Carpenter
Covert Ops Audio - Seattle, WA
Event Coordinator
Education:
Ecotech Institute - Aurora, CO
Associates in Renewable Energy Technologies


Jonathan Carlson Photo 2

Identifying Associations Using Graphical Models

US Patent:
2008017, Jul 17, 2008
Filed:
Apr 4, 2007
Appl. No.:
11/696595
Inventors:
David E. Heckerman - Bellevue WA, US
Jonathan M. Carlson - Seattle WA, US
Carl M. Kadie - Bellevue WA, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06N 5/02
US Classification:
706 46
Abstract:
Computer-executable instructions for identifying associations are described herein. By way of example, a method for facilitating developing a treatment can include employing computer-executable instructions stored on one or more computer-readable media to determine correlations and utilizing at least some of the determined correlations to develop a treatment.


Jonathan Carlson Photo 3

Identifying Associations Using Graphical Models

US Patent:
8050870, Nov 1, 2011
Filed:
Jan 12, 2007
Appl. No.:
11/622895
Inventors:
David E. Heckerman - Bellevue WA, US
Jonathan M. Carlson - Seattle WA, US
Carl M. Kadie - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G01N 33/48, G06F 19/14, G06F 19/00
US Classification:
702 19, 706 13, 702 20
Abstract:
Statistical models for identifying associations are described herein. By way of example, a system for identifying associations between variables can include a model builder and an association identifier. The model builder can receive observations about the variables and generate a null model and a non-null model. The association identifier can assess the strength of the association between the variables by determining how much the non-null model better explains the observed data than the null model. Additionally or alternatively, the structure of the observed data can be inferred simultaneously with the statistical model.