CIPO Patents = 1 (Patent Applications = 1)

EPO Patents = 3 (Patent Applications = 5)

Average Co-Inventor Count = 1.3

ph-index = 18

Forward Citations = 987(Granted Patents)

Company Filing History:

36 out of 54,638

Microsoft Technology Licensing, LLC

1 out of 832,680

Other

patents

Years Active: 2002-2015

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39 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 9141622 - Feature weight training techniques (2015-09-22),

2. 9098812 - Faster minimum error rate training for weighted linear models (2015-08-04),

3. 9069755 - N-gram model smoothing with independently controllable parameters (2015-06-30),

4. 8886516 - Machine translation split between front end and back end processors (2014-11-11),

5. 8655647 - N-gram selection for practical-sized language models (2014-02-18),

6. 8620838 - Line searching techniques (2013-12-31),

7. 8209162 - Machine translation split between front end and back end processors (2012-06-26),

8. 8180624 - Fast beam-search decoding for phrasal statistical machine translation (2012-05-15),

9. 7983898 - Generating a phrase translation model by iteratively estimating phrase translation probabilities (2011-07-19),

10. 7962323 - Converting dependency grammars to efficiently parsable context-free grammars (2011-06-14),

11. 7957953 - Weighted linear bilingual word alignment model (2011-06-07),

12. 7725306 - Efficient phrase pair extraction from bilingual word alignments (2010-05-25),

13. 7680647 - Association-based bilingual word alignment (2010-03-16),

14. 7593843 - Statistical language model for logical form using transfer mappings (2009-09-22),

15. 7526424 - Sentence realization model for a natural language generation system (2009-04-28),

Title: The Innovations of Robert C. Moore

Introduction

Robert C. Moore, located in Mercer Island, WA, is a prominent inventor with an impressive portfolio of 39 patents. His work primarily focuses on advancements in feature weight training techniques and statistical machine translation models, making significant contributions to the fields of machine learning and data processing.

Latest Patents

Among his latest innovations, Moore developed techniques of creating a classifier model for multi-class linear classifiers. This model includes feature weights for various feature and label combinations. One notable technique involves selecting an update set of feature weights, determining the updates independently based on the largest reduction in the output of a loss function, and modifying these updates to improve the model's accuracy.

Another significant patent pertains to faster minimum error rate training for weighted linear models. This patent outlines methods for training feature weights in statistical machine translation models. The system optimizes the feature weights based on translations hypotheses, enhancing overall model performance.

Career Highlights

Throughout his career, Robert C. Moore has played pivotal roles at notable technology companies, including Microsoft Technology Licensing, LLC and Google Inc. His experience at these major organizations has greatly influenced his innovative approach and understanding of advanced technological systems.

Collaborations

Moore has collaborated with esteemed colleagues, including Christopher Brian Quirk and Arul A. Menezes. Their combined expertise has facilitated groundbreaking developments in statistical models and machine learning techniques, pushing the boundaries of what these technologies can achieve.

Conclusion

Robert C. Moore's contributions to the field of innovative computing and machine learning continue to impact industries worldwide. With a wealth of experience and a robust collection of patents, he remains a significant figure in driving advancements in technology. His work exemplifies the intersection of creativity and technical proficiency, paving the way for future innovations.

This text is generated by artificial intelligence and may not be accurate.