… [Objective] Based on the cross-modal deep learning method, this paper analyzes consumers’
sentiments in travel reviews and identifies their sarcastic expression. [Methods] First, we …

… 随着高通量测序技术的出现,利用机器学习(machine learning,ML)技术处理遗传数据 的研究
成为了当前热点. 本文综述ML在AD中的应用研究,主要包括:遗传数据与影像,临床,组学等多模数据…

… In this paper, we propose a flexible simulation framework, DL-RSIM… deep learning neural
network implemented by TensorFlow. Using three representative convolutional neural networks …

… Machine learning (ML) is gaining importance in many research areas to predict the values
from the trained data set. The present study explores the machine learning … Adaptive neuro-…

… We propose that in the framework of the deep learning, the imaging and the genomics
are combined to construct a deep learning model with a high classification and prediction …

… algorithms,such as Convolutional Neural Networks(CNNs),… predictions of several different
deep learning models. The … a novel transfer learning based deep learning framework for …

… 基于上述原因, 本文提出利用Deep Learning 方 法进行基于深层语义的指代消解.研究Deep
Learning 深层学习结构的处理机制, 探索面向指代消解的语 义特征泛化表示, 利用Deep Learning …

… have implemented machine learning algorithms with … Deep learning algorithms such as
neural networks and … integrated into the field of neurology, specifically concerning the computer-…

… of machine learning technology … machine learning technology in the field of architectural
design and clarify the specific implementation process of the current machine learning …

… 摘要(英) Backpropagation (BP) is the cornerstone of today’s deep learning al gorithms to
update the weights in deep neural networks, but it is inefficient partially because of the …