COMPUTER SOFTWARE ADDRESSING OPTIMIZATION

Brand	Owner	Address	Description
INSIGHTOPTIMIZER	ANGOSS Software Corporation	111 George Street, Suite 200 Toronto, Ontario M5A2N4 Canada	Computer software for addressing optimization problems arising from the deployment of predictive models and predictions for optimizing objective functions and for allowing users to determine how business variables affect business outcomes, namely, computer software for predictive analytics;INSIGHT OPTIMIZER;Licensing of computer software; licensing of computer software, namely, licensing of computer software for addressing optimization problems arising from the deployment of predictive models and predictions for optimizing objective functions and for allowing users to determine how business variables affect business outcomes, namely, licensing of computer software for predictive analytics;Computer software design; computer software development; computer software design, namely, design of computer software for addressing optimization problems arising from the deployment of predictive models and predictions for optimizing objective functions and for allowing users to determine how business variables affect business outcomes, namely, design of computer software for predictive analytics; computer software development, namely, development of computer software for addressing optimization problems arising from the deployment of predictive models and predictions for optimizing objective functions and for allowing users to determine how business variables affect business outcomes, namely, development of computer software for predictive analytics;
	Where the owner name is not linked, that owner no longer owns the brand

Technical Examples

The shape of windows used during linear predictive analysis can be optimized through the use of gradient-descent based window optimization procedures. Window optimization may be achieved fairly precisely through the use of a primary optimization procedure, or less precisely through the use of an alternate optimization procedure. Both optimization procedures use the principle of gradient-descent to find a window sequence that will either minimize the prediction error energy or maximize the segmental prediction gain. However, the primary optimization procedure uses a Levinson-Durbin based algorithm to determine the gradient while the alternate optimization procedure uses an estimate of the gradient based on the basic definition of a derivative. These optimization procedures can be implemented as computer readable software code. Additionally, the optimization procedures may be implemented in a window optimization device which generally includes a window optimization unit and may also include an interface unit.