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Christopher D MccormickCitrus Heights, CA

Christopher Mccormick Phones & Addresses

Citrus Heights, CA   

Yuba City, CA   

1410 Redwood Dr, Rocklin, CA 95765   

301 Gibson Dr, Roseville, CA 95678   

301 Gibson Dr APT 1111, Roseville, CA 95678   

Jefferson Cty, MO   

Sacramento, CA   

Tonopah, NV   

Mentions for Christopher D Mccormick

Career records & work history

Lawyers & Attorneys

Christopher Mccormick Photo 1

Christopher Howard McCormick - Lawyer

Licenses:
New York - Due to reregister within 30 days of birthday 1987
Education:
Boston University School of Law
Christopher Mccormick Photo 2

Christopher Mccormick - Lawyer

Office:
Steier & McCormick, LLC
Specialties:
Real Estate Law, Bankruptcy, Business Law, Foreclosure Defense and Workouts, Chapter 13 Bankruptcy, Chapter 7 Bankruptcy
ISLN:
905021254
Admitted:
1985
University:
Duke University, B.A., 1982
Law School:
University of Connecticut School of Law, J.D., 1985

License Records

Christopher Linn Mccormick

Licenses:
License #: P008157 - Expired
Category: Social Work
Issued Date: May 31, 2013
Expiration Date: Jul 31, 2015 - Expidre
Type: Clinical Social Worker Associate

Christopher Mccormick resumes & CV records

Resumes

Christopher Mccormick Photo 50

Christopher Mccormick

Christopher Mccormick Photo 51

Christopher Mccormick

Christopher Mccormick Photo 52

Christopher Mccormick

Publications & IP owners

Us Patents

Hardware Enhancements To Radial Basis Function With Restricted Coulomb Energy Learning And/Or K-Nearest Neighbor Based Neural Network Classifiers

US Patent:
2016015, Jun 2, 2016
Filed:
Jan 21, 2016
Appl. No.:
15/003764
Inventors:
- Folsom CA, US
William Harry Nagel - Roseville CA, US
Christopher John McCormick - Santa Barbara CA, US
Mickey Lee Fandrich - Oregon City OR, US
Vardan Movsisyan - Yerevan, AM
Matthew McCormick - Folsom CA, US
International Classification:
G06N 3/04
Abstract:
A nonlinear neuron classifier comprising a neuron array including a plurality of neuron chips each including a plurality of neurons of variable length and variable depth, the chips processing input vectors of variable length and variable depth that are input into the classifier for comparison against vectors stored in the classifier, wherein an NSP flag is set for a plurality of the neurons to indicate that only that plurality of neurons is to participate in the vector calculations. A virtual content addressable memory flag is set for certain of the neuron chips to enable functions including fast readout of data from the chips. Results of vector calculations are aggregated for fast readout for a host computer interfacing with the classifier.

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