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Laurence Wood

In the United States, there are 590 individuals named Laurence Wood spread across 50 states, with the largest populations residing in Florida, Texas, California. These Laurence Wood range in age from 44 to 91 years old. Some potential relatives include Judy Wood, Ronald Harrier, Shirley Harrier. You can reach Laurence Wood through various email addresses, including ljmw2***@aol.com, laurence.w***@yahoo.com, laurencew***@msn.com. The associated phone number is 218-631-4520, along with 6 other potential numbers in the area codes corresponding to 540, 310, 510. For a comprehensive view, you can access contact details, phone numbers, addresses, emails, social media profiles, arrest records, photos, videos, public records, business records, resumes, CVs, work history, and related names to ensure you have all the information you need.

Public information about Laurence Wood

Resumes

Resumes

Laurence Wood

Laurence Wood Photo 1
Location:
Whitefish, MT
Skills:
Immunotherapy

Laurence Wood

Laurence Wood Photo 2
Location:
Whitefish, MT
Industry:
Biotechnology
Work:
Left Side Research
Chief Scientist and Co-Founder

Laurence Wood

Laurence Wood Photo 3
Work:
Basket Expressions LLC Oct 2006 - Jul 2010
Co-owner State of Michigan, Office of Financial and Insurance Regulation Apr 1990 - Oct 2006
Compliance Attorney
Education:
Thomas M. Cooley Law School 1979 - 1982
Juris Doctorate, Law

11C Infantry

Laurence Wood Photo 4
Location:
Seattle, WA
Work:
Us Army
11C Infantry

Laurence Wood

Laurence Wood Photo 5
Location:
Philadelphia, PA
Industry:
Biotechnology

Associate Professor

Laurence Wood Photo 6
Location:
1406 south Coulter St, Amarillo, TX 79106
Industry:
Biotechnology
Work:
Texas Tech University Health Sciences Center - School of Pharmacy - Abilene since Apr 2012
Assistant Professor University of Pennsylvania School of Medicine 2007 - Mar 2012
Postdoctoral Researcher New Jersey State Department of Health and Senior Services 1999 - 2001
Microbiologist/Virologist
Education:
University of Medicine and Dentistry of New Jersey 2001 - 2006
Ph.D., Cellular and Molecular Pharmacology Ursinus College 1995 - 1999
B.S., Biology
Skills:
Immunoprecipitation, Molecular Cloning, Protein Expression, Cell, Immunohistochemistry, Immunology, Cell Culture, Flow Cytometry, Cell Biology, Fluorescence Microscopy, Transfection, Western Blotting, Tissue Culture, Rt Pcr

Laurence Wood

Laurence Wood Photo 7

Pastor

Laurence Wood Photo 8
Location:
Royal Oak, MI
Industry:
Religious Institutions
Work:
Emmauel Bethel Church since 1988
Pastor
Education:
Gordon Conwell Theological Seminary 1985 - 1987
Master of Divinity (M.Div.), Theology/Theological Studies Western New England College School of Law 1973 - 1976
Doctor of Law (J.D.), Law Bates College 1969 - 1973
Bachelor of Arts (B.A.), Speech Communication and Rhetoric
Skills:
Pastoral Care, Biblical Studies, Discipleship, Gospel, Liturgy, Theology, Preaching, Pastoral Counseling, Spiritual Direction, Missions, Pastoral, Bible, Pastoring, Apologetics, Hermeneutics, College Ministry, Church History, Pastors, Discipleship Training, Philosophy of Religion, Ministry Leadership, Church Consulting, Retreat Leader, Retreats, Church Administration, Biblical Teaching, Practical Theology, Cross Functional Team Leadership, Ministry Development, Chaplaincy, Christian Theology, Pastoral Theology, Stewardship, Expository Preaching, Systematic Theology, Grief Counseling, Campus Ministry, Student Ministry, Exegesis, Homiletics

Phones & Addresses

Name
Addresses
Phones
Laurence Wood
218-631-4520
Laurence J Wood
763-479-1745
Laurence H Wood
540-745-4215
Laurence B Wood
816-931-2524

Publications

Us Patents

Accelerating Learning In Neural Networks

US Patent:
4912649, Mar 27, 1990
Filed:
Dec 14, 1988
Appl. No.:
7/284155
Inventors:
Laurence F. Wood - Medway MA
Assignee:
GTE Government Systems Corporation - Waltham MA
International Classification:
G06F 1518
US Classification:
364513
Abstract:
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon the unit inputs to provide a unit output. A plurality of examples are serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for adjusting each set of variables in response to feedback representing differences between the network output for each example and the desired output. The examples are iterated while those values which change are identified. The examples are reiterated and the algorithm is applied to only those values which changed in a previous iteration.

Neural Networks Learning Method

US Patent:
4912654, Mar 27, 1990
Filed:
Dec 14, 1988
Appl. No.:
7/284154
Inventors:
Laurence F. Wood - Medway MA
Assignee:
Government Systems Corporation GTE - Waltham MA
International Classification:
G06F 1518
US Classification:
364513
Abstract:
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output in the range positive 1 and negative 1. A plurality of examples are serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for calculating changes to the sets of variables in response to feedback representing differences between the network output for each example and the desired output. The absolute magnitude of the product of an input and the corresponding output of a unit is calculated. The feedback to that unit is adjusted in response to absolute magnitude so that said feedback is larger with a larger absolute magnitude than with a smaller absolute magnitude.

Adjusting Neural Networks

US Patent:
4912655, Mar 27, 1990
Filed:
Dec 14, 1988
Appl. No.:
7/284150
Inventors:
Laurence F. Wood - Medway MA
Assignee:
GTE Laboratories Incorporated - Waltham MA
International Classification:
G06F 1518
US Classification:
364513
Abstract:
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output. The computer is programmed with a back propagation algorithm. A plurality of examples are serially provided to the network input and the network output is observed. The examples are iterated and proposed changes to each set of variables are calculated in response to feedback representing differences betwen the network output for each example and the desired output. The proposed changes are accumulated for a predetermined number of iterations, whereupon the accumulated proposed changes are added to the set of variables.

Speeding Learning In Neural Networks

US Patent:
4912651, Mar 27, 1990
Filed:
Dec 14, 1988
Appl. No.:
7/284148
Inventors:
Laurence F. Wood - Medway MA
Michael J. Grimaldi - Medway MA
Eric D. Peterson - Arlington MA
Assignee:
GTE Laboratories Incorporated - Waltham MA
International Classification:
G06F 1518
US Classification:
364513
Abstract:
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output, and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output. A plurality of examples are serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for adjusting each set of variables in response to feedback representing differences between the network output for each example and the desired output. The examples are iterated until the signs of the outputs of the units of the output layer converge. Then each set of variables is multiplied by a multiplier.

Immunotherapeutic, Anti-Tumorigenic Compositions And Methods Of Use Thereof

US Patent:
2011030, Dec 15, 2011
Filed:
Apr 19, 2011
Appl. No.:
13/090159
Inventors:
Yvonne Paterson - Philadelphia PA, US
Laurence Wood - Philadelphia PA, US
International Classification:
A61K 39/02
C07K 2/00
A61P 37/04
A61P 35/00
A61P 35/04
C12N 15/62
A61K 31/711
US Classification:
4242001, 536 234, 530350, 514 44 R
Abstract:
This invention relates to immunotherapeutic vaccine composition comprising an ISG15 tumor antigen and to methods of preventing and treating a tumor growth by using said immunotherapeutic composition.

Fast Neural Network Training

US Patent:
4912652, Mar 27, 1990
Filed:
Dec 14, 1988
Appl. No.:
7/284145
Inventors:
Laurence F. Wood - Medway MA
Assignee:
GTE Laboratories Incorporated - Waltham MA
International Classification:
G06F 1518
US Classification:
364513
Abstract:
A method of accelerating the training of an artificial neural network uses a computer configured as an artificial neural network with a network input and a network output and having a plurality of interconnected units arranged in layers including an input layer and an output layer. Each unit has a multiplicity of unit inputs and a set of variables for operating upon a unit inputs to provide a unit output in the range between binary 1 and binary 0. A plurality of training examples is serially provided to the network input and the network output is observed. The computer is programmed with a back propagation algorithm for changing each set of variables in response to feedback representing differences between the network output for each example and the desired output. The examples are iterated while the output of a unit is observed. The feedback to a unit is adjusted so that a larger feedback is obtained when the output of the unit is near binary 1 or binary 0 than when the output is midrange between binary 1 or binary 0.

Neural Network Training Tool

US Patent:
4912647, Mar 27, 1990
Filed:
Dec 14, 1988
Appl. No.:
7/284149
Inventors:
Laurence F. Wood - Medway MA
Assignee:
GTE Laboratories Incorporated - Waltham MA
International Classification:
G06F 1518
US Classification:
364513
Abstract:
A method of training an artificial neural network uses a first computer configured as a plurality of interconnected neural units arranged in a network. A neural unit has a first subunit and a second subunit. The first subunit has first inputs and a corresponding first set of variables for operating upon the first inputs to provide a first output during a forward pass. The first set of variables can change in response to feedback representing differences between desired network outputs and actual network outputs. The second subunit has a plurality of second inputs, and a corresponding second set of variables for operating upon the second inputs to provide a second output. The second set of variables can change in response to differences between desired network outputs for selected network inputs and actual network outputs. The computer provides an activating variable representing the difference between current second output and previous second outputs. The activating variable is added to the feedback to accelerate the change of said first set of variables.

Training Neural Networks

US Patent:
4914603, Apr 3, 1990
Filed:
Dec 14, 1988
Appl. No.:
7/284157
Inventors:
Laurence F. Wood - Medway MA
Assignee:
GTE Laboratories Incorporated - Waltham MA
International Classification:
G06E 1518
US Classification:
364513
Abstract:
A method of training an artificial neural network uses a computer configured as a plurality of interconnected neural units arranged in a layered network including an input layer having a network input, and an output layer having a network output. A neural unit has a first subunit and a second subunit. The first subunit having one or more first inputs, and a corresponding first set of variables for operating upon the first inputs to provide a first output. The first set of variables can change in response to feedback representing differences between desired network outputs for selected network inputs and actual network outputs. The second subunit has a plurality of second inputs, and a corresponding second set of variables for operating upon said second inputs to provide a second output. The second set of variables can change in response to differences between desired network outputs for selected network inputs and actual network outputs. The computer provides an activating variable representing the difference between current second output and previous second outputs.

FAQ: Learn more about Laurence Wood

What is Laurence Wood's telephone number?

Laurence Wood's known telephone numbers are: 218-631-4520, 540-745-4215, 310-470-2556, 510-486-1941, 940-727-1398, 515-967-4967. However, these numbers are subject to change and privacy restrictions.

How is Laurence Wood also known?

Laurence Wood is also known as: Lawrence W Wood, Larry W Wood, Laurence W Woodjr. These names can be aliases, nicknames, or other names they have used.

Who is Laurence Wood related to?

Known relatives of Laurence Wood are: Henrietta Wood, Laurence Wood, Marguerite Wood, Willis Wood, Marguerite Dozier, Eva Gaddy. This information is based on available public records.

What are Laurence Wood's alternative names?

Known alternative names for Laurence Wood are: Henrietta Wood, Laurence Wood, Marguerite Wood, Willis Wood, Marguerite Dozier, Eva Gaddy. These can be aliases, maiden names, or nicknames.

What is Laurence Wood's current residential address?

Laurence Wood's current known residential address is: 100 Brittain Rd, Darlington, SC 29532. Please note this is subject to privacy laws and may not be current.

What are the previous addresses of Laurence Wood?

Previous addresses associated with Laurence Wood include: PO Box 221, Floyd, VA 24091; 1620 Malcolm Ave Apt 4, Los Angeles, CA 90024; 346 N Leland Ave, West Covina, CA 91790; 1320 Carleton St, Berkeley, CA 94702; 4309 Se View Acres Rd, Portland, OR 97267. Remember that this information might not be complete or up-to-date.

Where does Laurence Wood live?

Darlington, SC is the place where Laurence Wood currently lives.

How old is Laurence Wood?

Laurence Wood is 91 years old.

What is Laurence Wood date of birth?

Laurence Wood was born on 1933.

What is Laurence Wood's email?

Laurence Wood has such email addresses: ljmw2***@aol.com, laurence.w***@yahoo.com, laurencew***@msn.com, freakh***@comcast.net, onet***@medscape.com. Note that the accuracy of these emails may vary and they are subject to privacy laws and restrictions.

Laurence Wood from other States

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