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Bruce Allen Ferguson, 5010621 Howard Ct, Louisville, KY 40299

Bruce Ferguson Phones & Addresses

Louisville, KY   

Austin, TX   

Fort Worth, TX   

Cleburne, TX   

14745 Merriltown Rd APT 4711, Austin, TX 78728    512-6569946   

Work

Position: Administrative Support Occupations, Including Clerical Occupations

Education

Degree: Associate degree or higher

Mentions for Bruce Allen Ferguson

Career records & work history

Lawyers & Attorneys

Bruce Ferguson Photo 1

Bruce L. Ferguson - Lawyer

Admitted:
1998, Georgia, 2000, North Carolina
University:
University of Georgia, B.B.A., University of Georgia, J.D.
Biography:
Not available

Medicine Doctors

Bruce L. Ferguson

Specialties:
Internal Medicine
Work:
Eisenhower Health Center At Rimrock
4791 E Palm Cyn Dr STE 100, Palm Springs, CA 92264
760-8347930 (phone) 760-8347931 (fax)
Education:
Medical School
Northwestern University Feinberg School of Medicine
Graduated: 1991
Languages:
English
Description:
Dr. Ferguson graduated from the Northwestern University Feinberg School of Medicine in 1991. He works in Palm Springs, CA and specializes in Internal Medicine. Dr. Ferguson is affiliated with Eisenhower Medical Center.
Bruce Ferguson Photo 2

Bruce Bruce Ferguson

Specialties:
Family Medicine
Obstetrics & Gynecology
Gynecology
Education:
Stanford University (1970)

Publications & IP owners

Us Patents

Pre-Processing Input Data With Outlier Values For A Support Vector Machine

US Patent:
6941301, Sep 6, 2005
Filed:
Jan 18, 2002
Appl. No.:
10/051266
Inventors:
Bruce Ferguson - Round Rock TX, US
Eric Hartman - Austin TX, US
Assignee:
Pavilion Technologies, Inc. - Austin TX
International Classification:
G06F017/30
US Classification:
707 4, 707 6, 707102
Abstract:
A system and method for preprocessing input data to a support vector machine (SVM). The SVM is a system model having parameters that define the representation of the system being modeled, and operates in two modes: run-time and training. A data preprocessor preprocesses received data in accordance with predetermined preprocessing parameters, and outputs preprocessed data. The data preprocessor includes an input buffer for receiving and storing the input data. The input data may include one or more outlier values. A data filter detects and removes any outlier values in the input data, generating corrected input data. The filter may optionally replace the outlier values in the input data. An output device outputs the corrected data from the data filter as preprocessed data. The corrected data may be input to the SVM in training mode to train the SVM, and/or in run-time mode to generate control parameters and/or predictive output information.

System And Method For Pre-Processing Input Data To A Support Vector Machine

US Patent:
7020642, Mar 28, 2006
Filed:
Jan 18, 2002
Appl. No.:
10/051574
Inventors:
Bruce Ferguson - Round Rock TX, US
Eric Hartman - Austin TX, US
Assignee:
Pavilion Technologies, Inc. - Austin TX
International Classification:
G06F 15/18
G06E 1/00
US Classification:
706 21, 700 53
Abstract:
A system and method for preprocessing input data to a support vector machine (SVM). The SVM is a system model having parameters that define the representation of the system being modeled, and operates in two modes: run-time and training. A data preprocessor preprocesses received data in accordance with predetermined preprocessing parameters, and outputs preprocessed data. The data preprocessor includes an input buffer for receiving and storing the input data. The input data may be on different time scales. A time merge device determines a desired time scale and reconciles the input data so that all of the input data are placed on the desired time scale. An output device outputs the reconciled data from the time merge device as preprocessed data. The reconciled data may be input to the SVM in training mode to train the SVM, and/or in run-time mode to generate control parameters and/or predictive output information.

System And Method For On-Line Training Of A Support Vector Machine

US Patent:
7054847, May 30, 2006
Filed:
Sep 5, 2001
Appl. No.:
09/946809
Inventors:
Eric Hartman - Austin TX, US
Bruce Ferguson - Round Rock TX, US
Doug Johnson - Austin TX, US
Eric Hurley - Austin TX, US
Assignee:
Pavilion Technologies, Inc. - Austin TX
International Classification:
G06N 5/00
US Classification:
706 12, 706 45
Abstract:
A system and method for on-line training of a support vector machine (SVM). The SVM is trained with training sets from a stream of process data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the SVM. When multiple presentations are needed to effectively train the SVM, a buffer of training sets is filled and updated as new training data becomes available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. An historical database of time-stamped data may be used to construct training sets for the SVM. The SVM may be trained retrospectively by searching the historical database and constructing training sets based on the time-stamped data.

System And Method For On-Line Training Of A Non-Linear Model For Use In Electronic Commerce

US Patent:
2003003, Feb 13, 2003
Filed:
Nov 9, 2001
Appl. No.:
10/010052
Inventors:
Bruce Ferguson - Round Rock TX, US
Doug Johnson - Austin TX, US
Eric Hurley - Austin TX, US
Assignee:
Pavilion Technologies, Inc.
International Classification:
G06F017/60
US Classification:
705/010000
Abstract:
A system and method for on-line training of a non-linear model for use in electronic commerce. The non-linear model is trained with training sets from a stream of process data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the non-linear model. When multiple presentations are needed to effectively train the non-linear model, a buffer of training sets is filled and updated as new training data becomes available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. An historical database may be used to construct training sets for the non-linear model. The non-linear model may be trained retrospectively by searching the historical database and constructing training sets.

System And Method For On-Line Training Of A Non-Linear Model For Use In Electronic Commerce

US Patent:
2003003, Feb 13, 2003
Filed:
Mar 18, 2002
Appl. No.:
10/100561
Inventors:
Bruce Ferguson - Round Rock TX, US
Eric Hartman - Austin TX, US
International Classification:
G06F009/44
US Classification:
717/104000
Abstract:
A system and method for on-line training of a non-linear model for use in electronic commerce. The non-linear model is trained with training sets from a stream of process data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the non-linear model. When multiple presentations are needed to effectively train the non-linear model, a buffer of training sets is filled and updated as new training data become available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. An historical database may be used to construct training sets for the non-linear model. The non-linear model may be trained retrospectively by searching the historical database and constructing training sets.

Electronic Marketplace System And Method Using A Support Vector Machine

US Patent:
2003007, Apr 24, 2003
Filed:
Sep 5, 2001
Appl. No.:
09/946830
Inventors:
Eric Hartman - Austin TX, US
Bruce Ferguson - Round Rock TX, US
Doug Johnson - Austin TX, US
Eric Hurley - Austin TX, US
Lori Petrone - Austin TX, US
International Classification:
G06F017/60
US Classification:
705/026000
Abstract:
A system and method for optimizing transactions in an e-marketplace. An e-marketplace optimization server couples to a plurality of participant computers through a network. The server hosts a site which provides the e-marketplace where goods and/or services are bought and sold among participants. The server also includes a transaction optimization program which mediates a transaction among the participants which best serves the needs of the participants. Each of the participant computers provides transaction information to the server, including constraints and/or objectives related to the transaction. The transaction optimization program uses the transaction information to produce transaction results for the participants, including an optimized transaction specifying which of the participants are included in the transaction, and the terms of the transaction, which optimizes any objectives of the included participants subject to any constraints of the included participants. The transaction optimization program includes a support vector machine model of the e-marketplace.

System And Method For Historical Database Training Of Support Vector Machines

US Patent:
2003010, May 29, 2003
Filed:
Nov 28, 2001
Appl. No.:
09/997627
Inventors:
Bruce Ferguson - Round Rock TX, US
Eric Hartman - Austin TX, US
Doug Johnson - Austin TX, US
Eric Hurley - Austin TX, US
International Classification:
G06F007/00
US Classification:
707/001000, 707/003000
Abstract:
A system and method for historical database training of a support vector machine (SVM). The SVM is trained with training sets from a stream of process data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the SVM. When multiple presentations are needed to effectively train the SVM, a buffer of training sets is filled and updated as new training data becomes available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. A historical database of time-stamped data may be used to construct training sets for the SVM. The SVM may be trained retrospectively by searching the historical database and constructing training sets based on the time-stamped data.

System And Method For Historical Database Training Of Non-Linear Models For Use In Electronic Commerce

US Patent:
2003013, Jul 10, 2003
Filed:
Jan 8, 2002
Appl. No.:
10/041403
Inventors:
Bruce Ferguson - Round Rock TX, US
Eric Hartman - Austin TX, US
International Classification:
G06F017/60
US Classification:
705/026000
Abstract:
A system and method for historical database training of non-linear models for use in electronic commerce. The non-linear model is trained with training sets from a stream of electronic commerce data. The system detects availability of new training data, and constructs a training set from the corresponding input data. Over time, many training sets are presented to the non-linear model. When multiple presentations are needed to effectively train the non-linear model, a buffer of training sets is filled and updated as new training data becomes available. Once the buffer is full, a new training set bumps the oldest training set from the buffer. The training sets are presented one or more times each time a new training set is constructed. An historical database may be used to construct training sets for the non-linear model. The non-linear model may be trained retrospectively by searching the historical database and constructing training sets.

Isbn (Books And Publications)

The Piper'S Sons

Author:
Bruce Chandler Ferguson
ISBN #:
0525944311

Canada Video

Author:
Bruce Ferguson
ISBN #:
0226563111

Status And Prospects Of The Nonprofit Housing Sector

Author:
Bruce Ferguson
ISBN #:
0788142879

Space Invaders: Essays

Author:
Bruce Ferguson
ISBN #:
0920922325

Canada Video

Author:
Bruce Ferguson
ISBN #:
0888844425

Pastfuturetense

Author:
Bruce Ferguson
ISBN #:
0889151571

Haim Steinbach

Author:
Bruce Ferguson
ISBN #:
0889151792

Gary Hill

Author:
Bruce Ferguson
ISBN #:
0935558322

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