Patents Assigned to Manning & Napier Information Services, LLC.
  • Patent number: 8595031
    Abstract: A method and apparatus for coordinating payment of healthcare expenses is disclosed. The method comprises determining a co-payment amount based on a customer's insurance coverage, determining the availability of funds from a plurality of the consumer's prioritized accounts, and deducting at least a portion of the co-payment from the highest priority account having available funds.
    Type: Grant
    Filed: November 5, 2003
    Date of Patent: November 26, 2013
    Assignee: Manning & Napier Information Services, LLC
    Inventors: Michael P. Heffley, Michael J. Colson, Scott Strozyk, Robert M. States
  • Patent number: 8219420
    Abstract: A method and apparatus for coordinating payment of healthcare expenses is disclosed. The method comprises determining a co-payment amount based on a customer's insurance coverage, determining the availability of funds from a plurality of the consumer's prioritized accounts, and deducting at least a portion of the co-payment from the highest priority account having available funds.
    Type: Grant
    Filed: December 13, 2002
    Date of Patent: July 10, 2012
    Assignee: Manning & Napier Information Services, LLC
    Inventors: Michael P. Heffley, Robert M. States, Michael J. Colson
  • Patent number: 8024331
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: June 2, 2008
    Date of Patent: September 20, 2011
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 7444356
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: April 14, 2004
    Date of Patent: October 28, 2008
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 7406456
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: April 14, 2004
    Date of Patent: July 29, 2008
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 7299247
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: April 14, 2004
    Date of Patent: November 20, 2007
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 6751621
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: May 2, 2000
    Date of Patent: June 15, 2004
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder