结果1 题目 Machine learning is based on algorithms, a machine language that solves problems. As the algorithm gains experience, it teaches iteself. over time the program actually get smarter.A.√B.╳ 相关知识点: 试题来源: 解析 A 反馈 收藏 ...
Through the interactive waiting cost function analyzed by machine learning algorithm, this paper proposed the following design strategies to optimize the interactive waiting experience of products. Based on the analysis of the influencing factors of interactive waiting experience, machine learning is used ...
In: 2016 International Joint Conference on Neural Networks (IJCNN), pp 3485–3492. IEEE Dong S, Zhou DD, Ding W (2012) The study of network traffic identification based on machine learning algorithm. In: 2012 Fourth International Conference on Computational Intelligence and Communication Networks,...
This paper introduces the basic model of machine learning and proposes a network data prediction model based on time series. For the time dimension, an improved prediction algorithm model of machine learning is proposed. For mobile data allocation, from the perspective of ensuring the current and ...
On the basis of the Gaussian damped least-squares method, this paper introduced the variable step-size coefficient, studied the influencing factors of the coefficient, and determined the coefficient through the regression algorithm of machine learning. The speed is superior to other iterative ...
2. In such a system, probe-less ECG sensors are placed on the patient body and signals are transmitted with the help of Bluetooth to a processing device such as a mobile. The received signal can be processed and passed to a proposed machine learning algorithm for automatic CVD diagnosis. ...
to improve the performance on NER, such as Bi-LSTM-CRF (44%), Bi-LSTM-Attention-CRF (22%), and CNN-CRF (22%). This is to take advantage of theirrelative strengths: long distance modeling of RNNs and CRF’s ability to jointly connect output tags. Choosing the correct algorithm that...
Proposek-Shape, a partitional clustering algorithm that preserves the shapes of time series, which computes centroids effectively under the scaling and shift invariances 提出一种保留时间序列形状的分区聚类算法k-Shape,它在尺度不变性和位移不变性的前提下有效地计算聚类中心 ...
In order to provide users with differentiated services and build a personalized recommendation system model, Ma [17] gave a specific recommendation system process, system design, and system implementation based on collaborative filtering recommendation algorithm to promote the development of e-commerce syst...
the proposed special-purpose MD computer can simultaneously achieve both the AIMD-level high accuracy and the CMD-level high efficiency. This is achieved by deploying a deeply-revised MLMD algorithm, i.e., DeePMD26,27,28,29,30,31, (to ensure high accuracy) on a carefully-optimized NvN hard...