Patents by Inventor Michael Perlitz

Michael Perlitz 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).

  • Publication number: 20190386890
    Abstract: Approaches for optimizing network demand forecasting models and network topology using hyperparameter selection are provided. An approach includes defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature. The approach also includes generating, using a computer device, an optimal model using a subset of features selected from the pool of features. The approach further includes predicting future demand on a network using the optimal model. The approach additionally includes allocating resources in the network based on the predicted future demand.
    Type: Application
    Filed: August 28, 2019
    Publication date: December 19, 2019
    Inventors: Aaron K. BAUGHMAN, Brian M. O'CONNELL, Michael PERLITZ, Stefan A. G. VAN DER STOCKT
  • Patent number: 10439891
    Abstract: Approaches for optimizing network demand forecasting models and network topology using hyperparameter selection are provided. An approach includes defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature. The approach also includes generating, using a computer device, an optimal model using a subset of features selected from the pool of features. The approach further includes predicting future demand on a network using the optimal model. The approach additionally includes allocating resources in the network based on the predicted future demand.
    Type: Grant
    Filed: April 8, 2014
    Date of Patent: October 8, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Brian M. O'Connell, Michael Perlitz, Stefan A. G. Van Der Stockt
  • Publication number: 20150288573
    Abstract: Approaches for optimizing network demand forecasting models and network topology using hyperparameter selection are provided. An approach includes defining a pool of features that are usable in models that predict demand of network resources, wherein the pool of features includes at least one historical forecasting feature and at least one event forecasting feature. The approach also includes generating, using a computer device, an optimal model using a subset of features selected from the pool of features. The approach further includes predicting future demand on a network using the optimal model. The approach additionally includes allocating resources in the network based on the predicted future demand.
    Type: Application
    Filed: April 8, 2014
    Publication date: October 8, 2015
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. BAUGHMAN, Brian M. O'CONNELL, Michael PERLITZ, Stefan A. G. VAN DER STOCKT
  • Patent number: 8838510
    Abstract: A system, method and program product for selecting an algorithm and feature set to solve a problem. A perpetual analytics system is disclosed that provides a genetic algorithm for jointly selecting an algorithm and feature set to solve a problem, comprising: an evolutionary computing engine for processing data encoded as chromosomes, wherein each chromosome encodes an algorithm and a feature set; a domain knowledge store that maintains a plurality of algorithms and a plurality of features; a system for applying a generation of chromosomes to a set of data to provide a set of results; and a fitness function for evaluating the set of results to rate a performance of each chromosome in the set of chromosomes; wherein the evolutionary computing engine is adapted to evolve a subset of the set of chromosomes into a new generation of chromosomes.
    Type: Grant
    Filed: September 16, 2011
    Date of Patent: September 16, 2014
    Assignee: International Business Machines Corporation
    Inventors: Aaron K. Baughman, Michael Perlitz, Stefan A. G. Van Der Stockt
  • Publication number: 20130073490
    Abstract: A system, method and program product for selecting an algorithm and feature set to solve a problem. A perpetual analytics system is disclosed that provides a genetic algorithm for jointly selecting an algorithm and feature set to solve a problem, comprising: an evolutionary computing engine for processing data encoded as chromosomes, wherein each chromosome encodes an algorithm and a feature set; a domain knowledge store that maintains a plurality of algorithms and a plurality of features; a system for applying a generation of chromosomes to a set of data to provide a set of results; and a fitness function for evaluating the set of results to rate a performance of each chromosome in the set of chromosomes; wherein the evolutionary computing engine is adapted to evolve a subset of the set of chromosomes into a new generation of chromosomes.
    Type: Application
    Filed: September 16, 2011
    Publication date: March 21, 2013
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron K. Baughman, Michael Perlitz, Stefan A. G. Van Der Stockt
  • Patent number: 6096769
    Abstract: The invention relates a concentrated liquid fungicidal composition comprising a fungicidally acceptable carrier and/or surface active agent and(a) at least one compound of formula I, ##STR1## (b) one or more additional fungicidal active ingredients, which exist as a suspension of fire particles;(c) a solubilizing agent; and(d) a dispersing agent, which has the capability to adsorb irreversibly on the surfaces of hydrophobic particles suspended in water or polar organic solvents.
    Type: Grant
    Filed: April 20, 1998
    Date of Patent: August 1, 2000
    Assignee: American Cyanamid Company
    Inventors: Michael Perlitz, Friedrich Schmidt, Annerose Edith Elise Rehnig, Ewald Gerhard Sieverding, Christopher William Horsler