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2017

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Institution
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Articles 4621 - 4650 of 160892

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Using Music To Affect Mood Based On Sentiment Analysis, Nick Felker Dec 2017

Using Music To Affect Mood Based On Sentiment Analysis, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to influencing the mood of a person listening to music while operating a system or device. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to select music to play to influence a user’s mood based on user input into a system or device.

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Planning Group Meals Based On Preferences Of Attendees, Nick Felker Dec 2017

Planning Group Meals Based On Preferences Of Attendees, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to determining an optimal place and time for a meeting based on the preferences of the people attending the meeting. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal restaurant and time for a group meal based on personal preferences and/or time availability of members of the group.

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Font Optimization Based On User Reading Habits, Nick Felker Dec 2017

Font Optimization Based On User Reading Habits, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to improving accessibility to electronic documents by adjusting font characteristics based on user behavior. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal font to display an electronic document in based on user interaction with the electronic document.

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Detecting Interesting Events In A Home Security Camera System, N/A Dec 2017

Detecting Interesting Events In A Home Security Camera System, N/A

Defensive Publications Series

Generally, the present disclosure is directed to a system for predicting whether the subject of a camera needs to be recorded and/or transmitted. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict whether the view of the camera contains a noteworthy change in semantic meaning based on labels describing the semantic meaning of the view.

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Machine-Learning For Optimization Of Software Parameters, Etienne J. Membrives Dec 2017

Machine-Learning For Optimization Of Software Parameters, Etienne J. Membrives

Defensive Publications Series

Generally, the present disclosure is directed to optimizing tuning parameters in a computing system and/or software application using machine learning. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict an optimal value for tuning parameters based on metrics provided by a developer. As examples, such metrics may be related to an amount of user engagement, latency associated with the application, or efficiency of executing the software application.

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Providing Relevant Advertisements Based On Item-Specific Purchase History, Nick Felker Dec 2017

Providing Relevant Advertisements Based On Item-Specific Purchase History, Nick Felker

Defensive Publications Series

Generally, the present disclosure is directed to providing relevant advertisements to a shopper based on purchase history. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict how receptive a shopper will be to advertisements for a similar item to an item recently purchased based on purchase history patterns for the item.

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Machine-Learned Caching Of Datasets, Etienne J. Membrives Dec 2017

Machine-Learned Caching Of Datasets, Etienne J. Membrives

Defensive Publications Series

Generally, the present disclosure is directed to creating and/or modifying a pre-cache for a client device connected to a remote server containing a dataset. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict the likelihood a particular piece of data will be used (e.g. opened, edited, saved, etc.) within a time frame based on information about the data, the user’s interaction with the data, and/or the user’s schedule.

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Identifying Listed Properties Based On Imagery, Charles Armstrong Dec 2017

Identifying Listed Properties Based On Imagery, Charles Armstrong

Defensive Publications Series

Generally, the present disclosure is directed to identifying properties that are listed for sale or similarly available based on imagery of the properties. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict that a property is listed for sale or similarly available and/or characteristics about the listing based on imagery of the property, including imagery containing listing signage.

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Human Movement Detection In Wi-Fi Mesh Networks, Zhifeng Cai, Yu Wen Dec 2017

Human Movement Detection In Wi-Fi Mesh Networks, Zhifeng Cai, Yu Wen

Defensive Publications Series

Wireless networks, including mesh networks, can not only transmit information among various network devices but can also monitor changes or variations in the transmission signals used to communicate the information. Monitoring changes or variations in transmission signals can indicate presence, motion, lack of motion, or other characteristics about the physical space in which the wireless network operates without the need for additional equipment or dedicated devices.

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Machine-Learning Predicted User Interfaces, David Huffaker Dec 2017

Machine-Learning Predicted User Interfaces, David Huffaker

Defensive Publications Series

Generally, the present disclosure is directed to customizing user interfaces to a particular user. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict the likelihood a user will interact with a user interface element and/or the importance of the content of the user interface element based on user data such as, for example, user interaction with the user interface.

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Reinforcement Learning For Fuzzing Testing Techniques, Neil Dhillon, Tanmay Wadhwa Dec 2017

Reinforcement Learning For Fuzzing Testing Techniques, Neil Dhillon, Tanmay Wadhwa

Defensive Publications Series

Generally, the present disclosure is directed to using machine learning to manage a trade-off between exploration and exploitation in a fuzzer system. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict inputs that will cause a system being tested to malfunction or crash based on input data provided to the system and output from the system.

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Improving Appeal Of An Advertisement Based On Linguistic Trends, Donny Greenberg Dec 2017

Improving Appeal Of An Advertisement Based On Linguistic Trends, Donny Greenberg

Defensive Publications Series

Generally, the present disclosure is directed to improving appeal of an advertisement based on linguistic trends. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to generate fashionable advertisements based on a candidate advertisement and linguistic trends determined from sample material from one or more advertising platforms.

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A Modeling System For Integral Simulation Of Propagation Of Ocean Surge And Wave And Their Impinging On Coastal Structure (Extended Abstract), Ke Qu, Hansong Tang, Anil Agrawal Dec 2017

A Modeling System For Integral Simulation Of Propagation Of Ocean Surge And Wave And Their Impinging On Coastal Structure (Extended Abstract), Ke Qu, Hansong Tang, Anil Agrawal

Ocean Waves Workshop

Now it has become necessary to develop our capability to directly simulate many emerging coastal ocean flow and wave problems. These flow problems present a common challenge to our modeling capability; they involve multiphysics phenomena spanning a vast range of spatial and temporal scales, however, so far essentially we have no methods and computer software to directly and integrally simulate these phenomena. Now it has become necessary for us to develop new capability to model them in efficient ways and high-fidelity. Towards this goal, we have developed a brand new, unprecedented modeling system that is able to directly evaluate many …

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Session 1 Paper - Contemporary Expeditionary Warfare For Scientists And Engineers, C. Reid Nichols Dec 2017

Session 1 Paper - Contemporary Expeditionary Warfare For Scientists And Engineers, C. Reid Nichols

Ocean Waves Workshop

Expeditionary forces from many countries have deployed to mitigate the effects of natural disasters and human conflicts. Approaches are usually linked to the nation’s maritime strategy. Expeditionary forces provide rapid response to man-made disruptions such as mass casualties by terrorists, vessel hijackings by pirates, murders by drug cartels, and nuclear accidents. Recent examples include Humanitarian Assistance/Disaster Response (HA/DR) and Non Combatant Evacuation Operations (NEO). HA/DR type missions have been planned and executed to mitigate the effects of catastrophic tropical cyclones, flooding, wild fires, and tsunami. NEO missions are focused on the evacuation of a nation’s citizens and other foreigners from …

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Unseen, Jami Hodgins Dec 2017

Unseen, Jami Hodgins

The Anthology

No abstract provided.

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The Monster Called Compassion, Emaleigh Kitchen Dec 2017

The Monster Called Compassion, Emaleigh Kitchen

The Anthology

No abstract provided.

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What Happened?, James Rode Dec 2017

What Happened?, James Rode

The Anthology

No abstract provided.

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Untitled, Rachel Sharp Dec 2017

Untitled, Rachel Sharp

The Anthology

No abstract provided.

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Full Of Indigo, Owen Medgyesy Dec 2017

Full Of Indigo, Owen Medgyesy

The Anthology

No abstract provided.

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He Had Her At "Hail Satan", Elizabeth Ponds Dec 2017

He Had Her At "Hail Satan", Elizabeth Ponds

The Anthology

No abstract provided.

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A Queer American Evening, Taylor Bruenning Dec 2017

A Queer American Evening, Taylor Bruenning

The Anthology

No abstract provided.

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Welcome To The Jeralds, Zuri Wilson Dec 2017

Welcome To The Jeralds, Zuri Wilson

The Anthology

No abstract provided.

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The Lake, Rebekah Daniel Dec 2017

The Lake, Rebekah Daniel

The Anthology

No abstract provided.

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Behind The Sunglasses, Mitchell Postich Dec 2017

Behind The Sunglasses, Mitchell Postich

The Anthology

No abstract provided.

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Window Scene, Margaret Adams Dec 2017

Window Scene, Margaret Adams

The Anthology

No abstract provided.

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Informed Consent, Leigha Stahl Dec 2017

Informed Consent, Leigha Stahl

The Anthology

No abstract provided.

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The Boy In Red, Daniel Walter Dec 2017

The Boy In Red, Daniel Walter

The Anthology

No abstract provided.

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Little Miss Heretic, Felicia Chisolm Dec 2017

Little Miss Heretic, Felicia Chisolm

The Anthology

No abstract provided.

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Upon The Brick Wall Behind The Stairs, Margaret Adams Dec 2017

Upon The Brick Wall Behind The Stairs, Margaret Adams

The Anthology

No abstract provided.

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All The Rest Of Yous, Elizabeth Ponds Dec 2017

All The Rest Of Yous, Elizabeth Ponds

The Anthology

No abstract provided.

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