This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: The University of Queensland. Active years: 2000-2010.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Queensland, AU (2000)
- Taringa, AU (2009 - 2010)
Company Filing History:
Years Active: 2000-2010
Title: Kevin E Gates: Innovator in Machine Learning
Introduction
Kevin E Gates is a prominent inventor based in Taringa, Australia. He has made significant contributions to the field of machine learning, particularly in the development of methods for feature reduction and support vector machines. With a total of 3 patents to his name, Gates continues to push the boundaries of technology and innovation.
Latest Patents
One of Gates' latest patents is a feature reduction method of decision machines. This method focuses on reducing the number of features in a training set for learning machines, such as Support Vector Machines (SVM). The process involves receiving input training data vectors derived from a set of features in a feature space. The vectors are then mapped into a multi-dimensional space, where a least squares problem is solved to identify significant features. The decision parameters and vectors of the chosen decision machine are determined using these significant features.
Another notable patent is related to the operation of a computer as a support vector machine. This method defines a decision surface that separates two opposing classes of a training set of vectors. It involves associating a distance parameter with each vector, indicating its distance from the opposite class. Various approaches to calculating these distance parameters are provided, ultimately leading to the determination of a linearly independent set of support vectors that minimizes the sum of the associated distances.
Career Highlights
Kevin E Gates is affiliated with The University of Queensland, where he applies his expertise in machine learning and decision-making processes. His work has garnered attention for its innovative approach to solving complex problems in the field.
Collaborations
Gates has collaborated with notable colleagues, including Graeme R Hanson and Kevin Burrage. These partnerships have contributed to the advancement of research and development in machine learning technologies.
Conclusion
Kevin E Gates is a distinguished inventor whose work in machine learning has led to significant advancements in the field. His innovative patents and collaborations reflect his commitment to pushing the boundaries of technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
