Abstract: The present disclosure relates to a panel of a plurality of metabolite species that is useful for the identification or detection of subjects having pancreatic cancer, including methods for identifying such metabolic biomarkers within biological samples. The disclosure also includes a statistical model for predicting the presence of pancreatic cancer in a subject's biofluid by quantifying and comparing positive and negative fold changes in metabolite species' concentration; comparing the subject's metabolite species' concentrations to a predetermined value.

Abstract: The present disclosure relates to a panel of a plurality of metabolite species that is useful for the identification or detection of subjects having pancreatic cancer, including methods for identifying such metabolic biomarkers within biological samples. The disclosure also includes a statistical model for predicting the presence of pancreatic cancer in a subject's biofluid by quantifying and comparing positive and negative fold changes in metabolite species' concentration; comparing the subject's metabolite species' concentrations to a predetermined value.

Abstract: In one embodiment, the present invention is a method and apparatus for automatic system parameter configuration for performance improvement. One embodiment of the inventive method involves formulating a black box optimization problem, and solving the optimization problem using an enhanced smart hill climbing method. The smart hill climbing method includes both a global and a more precise local search to identify an optimal solution. In one embodiment, one or both of the global and local searches employs a weighted Latin Hypercube Sampling method in combination with importance sampling techniques to yield improved search results.

Abstract: In one embodiment, the present invention is a method and apparatus for automatic system parameter configuration for performance improvement. One embodiment of the inventive method involves formulating a black box optimization problem, and solving the optimization problem using an enhanced smart hill climbing method. The smart hill climbing method includes both a global and a more precise local search to identify an optimal solution.

Abstract: In one embodiment, the present invention is a method and apparatus for automatic system parameter configuration for performance improvement. One embodiment of the inventive method involves formulating a black box optimization problem, and solving the optimization problem using an enhanced smart hill climbing method. The smart hill climbing method includes both a global and a more precise local search to identify an optimal solution.

Abstract: In one embodiment, the present invention is a method and apparatus for automatic system parameter configuration for performance improvement. One embodiment of the inventive method involves formulating a black box optimization problem, and solving the optimization problem using an enhanced smart hill climbing method. The smart hill climbing method includes both a global and a more precise local search to identify an optimal solution.