Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...
Space to play or pause, M to mute, left and right arrows to seek, up and down arrows for volume. This speed is not only achieved through powerful computers but also through the creation and tuning of ...
Abstract: A highly parallel maximum a posteriori (MAP) decoding algorithm is proposed for high code rate, R = (n-1)/ n , ordinary (nonpunctured) convolutional codes using trellises of reciprocal dual ...
Learning from limited exemplars (few-shot learning) is a fundamental, unsolved problem that has been laboriously explored in the machine learning community. However, current few-shot learners are ...
2020-06-21 14:35:26.768642: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-06-21 14:35:26 ...
Abstract: Convolutional Neural Networks (CNN) are widely used in different artificial intelligence (AI) applications. Major part of the computation of a CNN involves 2D convolution. In this paper, we ...
To find a Driver's Lifetime Value based on the given data - Jz1116/Lyft-Data-Challenge-9-2019 ...
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