Peter Foldes

Title: Peter Foldes: Innovator in Adaptive Sampling Techniques

Introduction

Peter Foldes is a notable inventor based in San Francisco, CA. He holds 2 patents that showcase his expertise in adaptive sampling techniques. His work has significantly contributed to the fields of data analysis and forecasting.

Latest Patents

One of his latest patents is titled "Adaptive fuzzy fallback stratified sampling for fast reporting and forecasting." This patent describes techniques and mechanisms that facilitate adaptive fuzzy fallback stratified sampling. According to various embodiments, an actual or estimated minimum vertex cover of a feature dependency graph representing a dataset may be determined. The dataset includes a plurality of feature vectors and features. Each feature vector contains multiple feature values corresponding to the features. The feature dependency graph represents various conditional dependencies between the features. The minimum vertex cover designates a subset of features for strata selection. The feature vectors are partitioned into multiple strata based on the designated subset of features. Each stratum includes one or more feature vectors, and each feature vector is assigned to a corresponding stratum based on the values of the designated subset of features.

Career Highlights

Throughout his career, Peter Foldes has worked with prominent companies such as Turn Inc. and Amobee, Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects.

Collaborations

Peter has collaborated with talented individuals, including Ali Jalali and Santanu Kolay. These collaborations have further enriched his work and expanded his impact in the field.

Conclusion

Peter Foldes is a distinguished inventor whose contributions to adaptive sampling techniques have made a significant impact in data analysis and forecasting. His patents reflect his innovative spirit and dedication to advancing technology.