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公开(公告)号：US10049305B2
公开(公告)日：2018-08-14
申请号：US15656192
申请日：2017-07-21
Applicant: Google LLC
Inventor： Sudheendra Vijayanarasimhan , Jay Yagnik
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classification using a neural network. One of the methods for processing an input through each of multiple layers of a neural network to generate an output, wherein each of the multiple layers of the neural network includes a respective multiple nodes includes for a particular layer of the multiple layers: receiving, by a classification system, an activation vector as input for the particular layer, selecting one or more nodes in the particular layer using the activation vector and a hash table that maps numeric values to nodes in the particular layer, and processing the activation vector using the selected nodes to generate an output for the particular layer.
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公开(公告)号：US20220036216A1
公开(公告)日：2022-02-03
申请号：US17280034
申请日：2018-11-20
Applicant: Google LLC
Inventor： Jay Yagnik , Aleksandr Darin , Thierry Coppey , Thomas Deselaers , Victor Carbune
Abstract: The present disclosure is directed to a new framework the enables the combination of symbolic programming with machine learning, where the programmer maintains control of the overall architecture of the functional mapping and the ability to inject domain knowledge while allowing their program to evolve by learning from examples. In some instances, the framework provided herein can be referred to as “predictive programming.”
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公开(公告)号：US10210462B2
公开(公告)日：2019-02-19
申请号：US14552001
申请日：2014-11-24
Applicant: Google LLC
Inventor： Juan Carlos Niebles Duque , Hrishikesh Aradhye , Luciano Sbaiz , Jay Yagnik , Reto Strobl
IPC: G06F15/18 , G06N99/00 , G06F17/30 , G06K9/00 , H04N21/234 , H04N21/258 , H04L29/06 , H04N21/25
Abstract: A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.
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公开(公告)号：US20190012719A1
公开(公告)日：2019-01-10
申请号：US16129508
申请日：2018-09-12
Applicant: GOOGLE LLC
Inventor： John Roberts Anderson , Ryan Michael Rifkin , Jay Yagnik , Rasmus Larsen , Sarvjeet Singh , Yi-fan Chen , Anandsudhakar Kesari
Abstract: Implementations include systems and methods for scoring candidates for set recommendation problems. An example method includes repeating, for each code in code arrays for items in a set of items, determining a most common value for the code. In some implementations, the method includes determining that the most common value occurs with a frequency that meets an occurrence threshold and adding the code and the most common value to set-inclusion criteria. In other implementations, the method includes determining a value for the code from a code array for a seed item and adding the code and the most common value to set-inclusion criteria when the value for the code from the code array for the seed item matches the most common value. The method may also include evaluating a similarity with a candidate item based on the set-inclusion criteria and basing a recommendation regarding the candidate item on the similarity.
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