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 ...
3. Internet Financial Risk Control Model Construction Based on Machine Learning Algorithms 3.1. Machine Learning Algorithm Architecture In the field of machine learning, confusion matrix is widely used, which can also be called possibility table or error matrix. It is a specific matrix, which is ma...
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 ...
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. ...
10.[Deep Learning] 常用的Active functions & Optimizers 积分与排名 积分- 217597 排名- 5403 随笔分类 Algorithm(34) Bash(1) C/C++(6) Computational Advertising(1) Data Structure(6) Database(3) Evolutionary Algorithm(2) Hadoop(4) Linux(6) Machine Learning(25) Math(2) Net...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. - microsoft/LightGBM
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 ...
We describe how storage requirements can be significantly reduced with, at most, minor sacrifices in learning rate and classification accuracy. While the storage-reducing algorithm performs well on several real-world databases, its performance degrades rapidly with the level of attribute noise in ...