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Convolutional Neural Network (CNN) is a deep learning algorithm extended from Artificial Neural Network (ANN) and widely used for image classification and recognition, thanks to its invariance to distortions. The recent rapid growth of applications based on deep learning algorithms, especially in the context of Big Data analytics, has dramatically improved both industrial and academic research and...
We consider the implementation of an in-situ machine learning system with the computing model promoted by Qarnot computing. Qarnot introduced an utility computing model in which servers are distributed in homes and offices where they serve as heaters. The Qarnot servers also embed several sensors for temperature, humidity, CO 2 etc. Qarnot offers an adequate platform to develop in-situ workflows for...
This paper seeks to address the disconnect between different stages of the FPGA CAD flow that often adversely affects the quality of results of the implemented designs. In particular, a machine-learning framework is presented, consisting of a suite of classification and regression techniques, to model the underlying relationship between the characteristics of circuits and the best CAD algorithm (and...
The FRaC anomaly detection algorithm has been previously used to identify anomalous mRNA expression patterns, and has served as the core of an approach that characterizes individual anomalies by identifying dysregulated molecular functions. However, FRaC operates by training supervised models for each feature in a data set. Thus, scaling to substantially larger data sets, such as those reflecting...
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