Patents by Inventor Jake Drew

Jake Drew has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for machine learning and classifying data
    Patent number: 10579661
    Abstract: The present invention relates in general to the field of parallel data processing, and more particularly to machine learning and classification of extremely large volumes of unstructured gene sequence data using Collaborative Analytics Gene Sequence Classification Learning Systems and Methods.
    Type: Grant
    Filed: May 20, 2014
    Date of Patent: March 3, 2020
    Assignee: Southern Methodist University
    Inventors: Jake Drew, Michael Hahsler, Tyler Moore
  • Universal language classification devices, systems, and methods
    Patent number: 9424245
    Abstract: A computer-implemented method, implemented, at least in part, by hardware in combination with software, the method includes (A) obtaining text from a document; (B) parsing said text using at least one parallel sentence parsing process to obtain sentence data from said text; (C) parsing said sentence data using at least one parallel noun parsing process to obtain text data from said sentence data; (D) scoring said text data using at least one term scorer process and a known word list to obtain scored terms corresponding to said text data; and (E) determining known word scores corresponding to said text data, using said known word list, wherein said known word scores comprise base scores and category penetration scores; wherein steps (B), (C), (D), and (E) operate in parallel for at least some of the text from the document.
    Type: Grant
    Filed: May 14, 2013
    Date of Patent: August 23, 2016
    Assignee: PersonalWeb Technologies, LLC
    Inventors: Wasef Kassis, Jake Drew, Joshua Cade Jarvis, Bobby Charles Thomas, William Robert Zink
  • SYSTEM AND METHOD FOR MACHINE LEARNING AND CLASSIFYING DATA
    Publication number: 20140344195
    Abstract: The present invention relates in general to the field of parallel data processing, and more particularly to machine learning and classification of extremely large volumes of unstructured gene sequence data using Collaborative Analytics Gene Sequence Classification Learning Systems and Methods.
    Type: Application
    Filed: May 20, 2014
    Publication date: November 20, 2014
    Applicant: Southern Methodist University
    Inventors: Jake Drew, Michael Hahsler, Tyler Moore
  • Universal Language Classification Devices, Systems, and Methods
    Publication number: 20140108005
    Abstract: A computer-implemented method, implemented, at least in part, by hardware in combination with software, the method includes (A) obtaining text from a document; (B) parsing said text using at least one parallel sentence parsing process to obtain sentence data from said text; (C) parsing said sentence data using at least one parallel noun parsing process to obtain text data from said sentence data; (D) scoring said text data using at least one term scorer process and a known word list to obtain scored terms corresponding to said text data; and (E) determining known word scores corresponding to said text data, using said known word list, wherein said known word scores comprise base scores and category penetration scores; wherein steps (B), (C), (D), and (E) operate in parallel for at least some of the text from the document.
    Type: Application
    Filed: May 14, 2013
    Publication date: April 17, 2014
    Inventors: Wasef Kassis, Jake Drew, Joshua Cade Jarvis, Bobby Charles Thomas, William Robert Zink