Wendy Ann Czika

Title: Innovations by Wendy Ann Czika

Introduction

Wendy Ann Czika is a notable inventor based in Cary, NC (US). She has made significant contributions to the field of machine learning and decision tree structures. With a total of 4 patents, her work showcases her expertise and innovative spirit.

Latest Patents

One of her latest patents is titled "System for automatic, simultaneous feature selection and hyperparameter tuning for a machine learning model." This invention involves a computing device that selects a feature set and hyperparameters for a machine learning model to predict a value for a characteristic in a scoring dataset. The process includes determining the number of training model iterations and selecting unique evaluation pairs for each iteration. Each trained machine learning model is validated to compute a performance measure value, leading to the selection of a final feature set and hyperparameter configuration based on the computed performance measure value.

Another significant patent is the "Method for selecting node variables in a binary decision tree structure." This method involves mapping node variables to known outcome variables and calculating a statistical measure of significance for each input variable in a dataset. The appropriate node variable is then selected based on an averaged statistical measure of the input variable and any co-linear input variables.

Career Highlights

Wendy Ann Czika is currently employed at SAS Institute Inc., where she continues to develop innovative solutions in her field. Her work has had a substantial impact on the efficiency and effectiveness of machine learning applications.

Collaborations

Wendy has collaborated with notable colleagues such as John Clare Brocklebank and Bruce S Weir, contributing to a dynamic and innovative work environment.

Conclusion

Wendy Ann Czika's contributions to the field of machine learning and decision tree structures highlight her as a prominent inventor. Her innovative patents reflect her dedication to advancing technology and improving computational methods.