Microsoft Technology Licensing, LLC

Peter Fintan Leonard

Erez Kikin-Gil

Nino Yuniardi

Jeffrey Alan Kohler

Gary Caldwell

Tracy Dianne Schultz

Steven P Geffner

Nicole Danielle Steinbok

Catherine William Neylan

Jennifer Michelstein Halberstam

Liyin Xue

Sunil Swami

Eli Tamanaha

Nina Shih

Bram Paperman

Samuel Ying-Lam Cheung

Isaac Jacobsen

Raman Chandrasekar

David Michael Sauntry

Leon Chih Wen Wong

Ana Sultana Bacioiu

James Scott Boyle

A system for dynamically displaying specific sections of a file depending on a user identity is provided. The system utilizes access control data to enable an author to generate and share a file with a number of consumers and have each recipient view a customized set of sections of the file depending on access permissions associated with each recipient. The file can be in any format, e.g., a word processing document, presentation document, a media file, or any other file having a number of sections. A section of a file can be any definitive unit of data, such as a page, slide, tab, worksheet, video segment, audio segment, etc. Permissions can be based on a user's permission level, work history, skill level, role in an organization, title, etc. The system can also prevent access to certain sections of a file depending on the permissions associated with a consumer.

Dynamic display of file sections based on user identities

A system for composing storyline content in multiple productivity applications is provided. The productivity applications are each configured with an authoring pane and a storyline pane. Each productivity application has an authoring pane configured to display and edit the contents of a particular file type. Portions of the content displayed in the authoring pane are selected for the purposes of composing a presentation and the selected content is displayed in the storyline pane. The storyline pane of each application is synchronized to enable users to work within each application and view a current version of the presentation that is being composed while also viewing authored content specific to each application. The selected content displayed in a storyline pane can be used to generate formatted storyline data. The storyline data can be in a Web-based format, a presentation file, a multi-frame image file, a video file, or any other suitable format.

Coordination of storyline content composed in multiple productivity applications

When an outgoing communication sent to one or more recipients contains a supported attachment type, a shared workspace that contains a shared version of the original attachment is provisioned. A modified version of the original outgoing communication is delivered to internal recipients including both a link to the shared document and the original attachment.

Shared attachments

A human assisted method of debugging training data used to train a machine learning classifier is provided. The method includes obtaining a classifier training data set. The training data set is then debugged using an integrated debugging tool configured to implement a debugging loop to obtain a debugged data set. The debugging tool can be configured to perform an estimation and simplification step to reduce data noise in the training data set prior to further analysis. The debugging tool also runs a panel of prediction-centric diagnostic metrics on the training data set, and provides the user prediction based listings of the results of the panel of prediction-centric diagnostic metrics.

Method and apparatus for analysis and decomposition of classifier data anomalies

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Seattle, WA, United States of America

Peter Fintan Leonard