Company Filing History:
Years Active: 2012-2016
Title: Alex Gilman: Innovator in Statistical Modeling and Ontology
Introduction
Alex Gilman is a prominent inventor based in Fremont, CA (US). He has made significant contributions to the field of statistical modeling and ontology through his innovative patents. With a total of 5 patents, Gilman continues to push the boundaries of technology and research.
Latest Patents
One of his latest patents is titled "Modeling topics using statistical distributions." In this invention, modeling topics involves accessing a corpus of documents that include words. The words of a document are selected as keywords, and the documents are clustered according to these keywords to yield clusters, each corresponding to a specific topic. A statistical distribution is generated for a cluster from the words of the documents within that cluster, allowing for effective topic modeling.
Another notable patent is "Recommending terms to specify ontology space." In this embodiment, a set of target search terms for a search is received, and candidate terms are selected to reduce the ontology space of the search. These candidate terms are then sent to a computer to recommend them as search terms. Additionally, a document stored in tangible media is accessed, and a set of target tags for the document is received. Terms are selected to reduce the ontology space of the document, and these terms are sent to a computer for recommendation as tags.
Career Highlights
Alex Gilman is currently employed at Fujitsu Corporation, where he applies his expertise in statistical modeling and ontology. His work has been instrumental in advancing the company's technological capabilities and research initiatives.
Collaborations
Throughout his career, Gilman has collaborated with notable colleagues, including David Loren Marvit and Jawahar Jain. These collaborations have fostered innovation and contributed to the development of groundbreaking technologies.
Conclusion
Alex Gilman is a distinguished inventor whose work in statistical modeling and ontology has led to significant advancements in technology. His contributions continue to influence the field and inspire future innovations.
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