Fernando Perez-Cruz

Title: Innovations of Fernando Perez-Cruz

Introduction

Fernando Perez-Cruz is a notable inventor based in Madrid, Spain. He has made significant contributions to the field of data classification and feature selection. With a total of three patents to his name, his work has had a considerable impact on machine learning and data analysis.

Latest Patents

One of his latest patents is a method for feature selection and for evaluating features identified as significant for classifying data. This method utilizes a support vector machine to evaluate a group of features that have been identified as significant in separating data into classes. The process involves assigning an extremal margin value to each feature based on the distance between the lowest feature value in the first class and the highest feature value in the second class. Additionally, extremal margin values are calculated for a normal distribution within a large number of randomly drawn example sets for the two classes. This allows for the determination of the number of examples within the normal distribution that would have a specified extremal margin value. The features that have a calculated extremal margin value less than the specified margin value are labeled as falsely significant.

Another patent focuses on feature selection in a support vector machine using feature ranking. In this method, pre-processing includes reducing the quantity of features to be processed using various feature selection methods. The remaining features after selection are then utilized to train a learning machine for purposes such as pattern classification, regression, clustering, and novelty detection.

Career Highlights

Fernando Perez-Cruz is currently associated with Health Discovery Corporation, where he applies his expertise in machine learning and data analysis. His innovative approaches have contributed to advancements in the field, particularly in the area of feature selection and evaluation.

Collaborations

Throughout his career, he has collaborated with notable individuals such as Isabelle Guyon and Jason Edward Weston. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Fernando Perez-Cruz is a distinguished inventor whose work in feature selection and data classification has made a significant mark in the field of machine learning. His innovative methods continue to influence advancements in data analysis and classification techniques.