1
William H. Gates III
Raymond E Ozzie, Eric J Horvitz, William H Gates III, Joshua T Goodman, Susan T Dumais, Gary W Flake, Trenholme J Griffin, Xuedong D Huang, Oliver Hurst Hiller, Christopher A Meek: Architecture for user- and context-specific prefetching and caching of information on portable devices. Microsoft Corporation, Lee & Hayes PLLC, January 7, 2014: US08626136 (9 worldwide citation)

Content management architecture for a portable wireless device. Caching and fetching techniques are provided to improve content handling for portable devices such as cellular telephones and portable computers. A search component automatically performs searches as a background process, and potentiall ...


2
William H. Gates III
Christopher D Payne, Eric J Horvitz, Alexander G Gounares, Susan T Dumais, Kyle G Peltonen, Gary W Flake, Xuedong D Huang, William H Gates III, John C Platt, Oliver Hurst Hiller, Joshua T Goodman, Christopher A Meek, Ramez Naam, Raymond E Ozzie, Eric D Brill: Entity-specific search model. Microsoft Corporation, Hope Baldauff Hartman, October 26, 2010: US07822762 (8 worldwide citation)

A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to g ...


3
William H. Gates III
Raymond E Ozzie, Eric J Horvitz, William H Gates III, Joshua T Goodman, Susan T Dumais, Gary W Flake, Trenholme J Griffin, Xuedong D Huang, Oliver Hurst Hiller, Christopher A Meek: Desktop search from mobile device. Microsoft Corporation, Lee & Hayes PLLC, January 18, 2011: US07873620 (5 worldwide citation)

Content management architecture for a portable wireless device. Caching and fetching techniques are provided to improve content handling for portable devices such as cellular telephones and portable computers. A search component automatically performs searches as a background process, and potentiall ...


4
Christopher A Meek: Dynamic controlling of attribute-specific list for improved object organization. Microsoft Corporation, Amin & Turocy, May 4, 2004: US06732155 (178 worldwide citation)

Improving object organization by presenting controlling attribute-specific lists is disclosed. For example, the object can be an email and the controlling attribute the sender of the email. Sender-specific lists are dynamically maintained and can include the most recent folders into which email have ...


5
David E Heckerman, Paul S Bradley, David M Chickering, Christopher A Meek: Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications. Microsoft Corporation, Amin Turocy & Calvin, February 19, 2008: US07333998 (140 worldwide citation)

A system that incorporates an interactive graphical user interface for visualizing clusters (categories) and segments (summarized clusters) of data. Specifically, the system automatically categorizes incoming case data into clusters, summarizes those clusters into segments, determines similarity mea ...


6
David E Heckerman, David Maxwell Chickering, Usama M Fayyad, Christopher A Meek: Method and system for visualization of clusters and classifications. Microsoft Corporation, Peter L Michaelson, Michaelson & Wallace, April 10, 2001: US06216134 (119 worldwide citation)

A system that provides for the graphic visualization of the categories of a collection of records. The graphic visualization is referred to as “category graph.” The system optionally displays the category graph as a “similarity graph” or a “hierarchical map.” When displaying a category graph, the sy ...


7
David E Heckerman, Paul S Bradley, David M Chickering, Christopher A Meek: Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications. Microsoft Corporation, Amin & Turocy, May 25, 2004: US06742003 (117 worldwide citation)

A system that incorporates an interactive graphical user interface for visualizing clusters (categories) and segments (summarized clusters) of data. Specifically, the system automatically categorizes incoming case data into clusters, summarizes those clusters into segments, determines similarity mea ...


8
Bo Thiesson, Christopher A Meek, David Maxwell Chickering, David Earl Heckerman: Mixtures of bayesian networks with decision graphs. Microsoft Corporation, Peter L Michaelson, Robert M Wallace, Michaelson & Wallace, June 18, 2002: US06408290 (57 worldwide citation)

One aspect of the invention is the construction of mixtures of Bayesian networks. Another aspect of the invention is the use of such mixtures of Bayesian networks to perform inferencing. A mixture of Bayesian networks (MBN) consists of plural hypothesis-specific Bayesian networks (HSBNs) having poss ...


9
Bo Thiesson, Christopher A Meek, David Maxwell Chickering, David Earl Heckerman: Collaborative filtering with mixtures of bayesian networks. Microsoft Corporation, Peter L Michaelson, Robert M Wallace, Michaelson & Wallace, December 17, 2002: US06496816 (52 worldwide citation)

One aspect of the invention is the construction of mixtures of Bayesian networks. Another aspect of the invention is the use of such mixtures of Bayesian networks to perform inferencing. A mixture of Bayesian networks (MBN) consists of plural hypothesis-specific Bayesian networks (HSBNs) having poss ...


10
Christopher A Meek, John C Platt: Classification system trainer employing maximum margin back-propagation with probabilistic outputs. Microsoft Corporation, Mark A Watson, Lyon & Harr, April 27, 2004: US06728690 (51 worldwide citation)

A training system for a classifier utilizes both a back-propagation system to iteratively modify parameters of functions which provide raw output indications of desired categories, wherein the parameters are modified based on a weighted decay, and a probability determining system with further parame ...