Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a baseline resource and one or more candidate change resources at a computing device, the baseline resource and the one or more candidate resources being displayable on a display, rendering the baseline resource as an image to provide an image file including corresponding image data, rendering the one or more candidate change resources as respective images to provide one or more image files each including corresponding image data, processing the image files using the computing device to determine one or more statistics of interest, the one or more statistics of interest reflecting a user behavior in interacting with a resource.
Generating Simulated Eye Movement Traces For Visual Displays
Rehan Khan - Albany CA, US Nicholas Chamandy - San Francisco CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G09G 5/00
US Classification:
345619, 345664, 345679
Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a baseline resource and one or more candidate change resources at a computing device, the baseline resource and the one or more candidate resources being displayable on a display, rendering the baseline resource as an image to provide an image file including corresponding image data, rendering the one or more candidate change resources as respective images to provide one or more image files each including corresponding image data, processing the image files using the computing device to determine one or more statistics of interest, the one or more statistics of interest reflecting a user behavior in interacting with a resource.
Dynamic Modeling And Simulation Of An Autonomous Vehicle Fleet Using Real-Time Autonomous Vehicle Sensor Input
Embodiments provide techniques for autonomous vehicle fleet modeling and simulation, such as within a dynamic transportation matching system utilizing one or more vehicle types such as non-autonomous vehicles and autonomous vehicles. An autonomous fleet simulation model may be generated based on real-world parameters of an autonomous vehicle fleet, and the parameters may be modified in a simulation in order to determine optimized values that may be applied to the real-world autonomous vehicle fleet.
Dynamic Modeling And Simulation Of An Autonomous Vehicle Fleet Using Real-Time Autonomous Vehicle Sensor Input
- San Francisco CA, US NICHOLAS CHAMANDY - San Francisco CA, US JODY KELMAN - San Francisco CA, US
International Classification:
G05D 1/02 G05D 1/00 G05B 17/02
Abstract:
Embodiments provide techniques for autonomous vehicle fleet modeling and simulation, such as within a dynamic transportation matching system utilizing one or more vehicle types such as non-autonomous vehicles and autonomous vehicles. An autonomous fleet simulation model may be generated based on real-world parameters of an autonomous vehicle fleet, and the parameters may be modified in a simulation in order to determine optimized values that may be applied to the real-world autonomous vehicle fleet.
Selecting And Presenting Content Relevant To User Input
- Mountain View CA, US Arash Baratloo - Mountain View CA, US Nicholas Chamandy - San Francisco CA, US Qicheng Ma - San Francisco CA, US Vivek Raghunathan - Fremont CA, US Chiu Wah Kelvin So - Mountain View CA, US Alice S. Tull - Mountain View CA, US
International Classification:
G06F 17/30 G06F 3/0482 G06F 17/27
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media are provided. An example method includes receiving user input in a control, for example, one associated with a search engine. The user input includes a series of input characters that when completed would form a completed user request. The method further includes, while receiving the user input, evaluating the characters to identify completions for the completed request. The method further includes identifying, by one or more processors, a content item associated with the one or more completions and identifying display data associated with the content item for transmission to the user along with one or more completions in response to receiving the user input.
Selecting And Presenting Content Relevant To User Input
- Mountain View CA, US Arash Baratloo - Mountain View CA, US Nicholas Chamandy - San Francisco CA, US Qicheng Ma - San Francisco CA, US Vivek Raghunathan - Fremont CA, US Chiu Wah Kelvin So - Mountain View CA, US Alice S. Tull - Mountain View CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30 G06F 17/22
US Classification:
707706, 715234
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media are provided. An example method includes receiving user input in a control, for example, one associated with a search engine. The user input includes a series of input characters that when completed would form a completed user request. The method further includes, while receiving the user input, evaluating the characters to identify completions for the completed request. The method further includes identifying, by one or more processors, a content item associated with the one or more completions and identifying display data associated with the content item for transmission to the user along with one or more completions in response to receiving the user input.
The Black Tux
Advisor
Lyft
Scientific Director, Mapping
Lyft Apr 2016 - Mar 2018
Head of Data Science
Lyft Jun 2015 - Mar 2016
Data Scientist
Google Oct 2007 - May 2015
Staff Statistician
Education:
Mcgill University 2004 - 2007
Doctorates, Doctor of Philosophy, Statistics
University of Chicago 2002 - 2003
Master of Science, Masters, Statistics
Skills:
Statistical Modeling Statistics Predictive Modeling Machine Learning Data Mining Data Analysis Predictive Analytics R Big Data
Languages:
English French
Youtube
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Copyright 2016 Chamandy. All rights reserved. Copyright 2016 Chamand...