Výsledky vyhledávání - "Taylor Ian A"

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Generative Filtering for Recursive Bayesian Inference with Streaming Data

Autor: Taylor, Ian, Kaplan, Andee, Betancourt, Brenda

In the streaming data setting, where data arrive continuously or in frequent batches and there is no pre-determined amount of total data, Bayesian models can employ recursive updates, incorporating each new batch of data into the model parameters' po

Externí odkaz: http://arxiv.org/abs/2309.14271

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simPLE: a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects

Autor: Bauza, Maria, Bronars, Antonia, Hou, Yifan, Taylor, Ian, Chavan-Dafle, Nikhil, Rodriguez, Alberto

Existing robotic systems have a clear tension between generality and precision. Deployed solutions for robotic manipulation tend to fall into the paradigm of one robot solving a single task, lacking precise generalization, i.e., the ability to solve

Externí odkaz: http://arxiv.org/abs/2307.13133

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Fast Bayesian Record Linkage for Streaming Data Contexts

Autor: Taylor, Ian, Kaplan, Andee, Betancourt, Brenda

Record linkage is the task of combining records from multiple files which refer to overlapping sets of entities when there is no unique identifying field. In streaming record linkage, files arrive sequentially in time and estimates of links are updat

Externí odkaz: http://arxiv.org/abs/2307.07005

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