FastJsonRedisSerializer在哪个包 fast-classifier: registered,目录标题一、文档地址二、第一个springboot例子三、Starters(springboot官方提供的启动器)四、@SpringBootApplication注释(一)@EnableAutoConfiguration(二)ComponentScan五、devtools(热插拔)六、开
fast-classifier for OPENWRT. Contribute to fall513/fast-classifier development by creating an account on GitHub.
fast-classifier fast-classifier for OPENWRT1, copy patch to target/linux/ramips/patches-3.18/;2, copy shortcut-fe to package/kernel/;3, make menuconfig, choose Kernel modules -> Network Support -> kmod-fast-classifier;4, compile and enjoy it;Notice: Tested mt7621 with OpenWrt 15.05, in ...
The invention discloses a two-stage fast classifier based on a linear classification tree and a neural network. Design of the classifier is fundamental and critical in machine learning and pattern recognition, and the classifier is widely applied to numerous fields of data mining, data analysis, ...
Summary: In this paper, a fast tool for finding protein coding regions is presented. Such tool relies on performing cross correlation in the frequency domain and decision Tree. In addition, a modified trust region method is used to find the closet (optimized) DNA nucleotide. Moreover, a Seque...
Fast Convergence on Perfect Classification for Functional Data Therefore, we study a classifier with empirical risk minimization using reproducing kernel Hilbert space (RKHS) and analyse its convergence rate under the DH condition. The result shows that the convergence speed of the misclassification ......
Machine Learning Fast Tree Inheritance nimbusml.internal.core.ensemble._fasttreesbinaryclassifier.FastTreesBinaryClassifier FastTreesBinaryClassifier nimbusml.base_predictor.BasePredictor FastTreesBinaryClassifier sklearn.base.ClassifierMixin FastTreesBinaryClassifier ...
High Speed Training of a Fuzzy Classifier with Ellipsoidal Regions In this paper, we discuss a fast training method for a fuzzy classifier with ellipsoidal regions. In the calculation of the degree of membership, first we ... T Eguchi,S Abe - 《Transactions of the Institute of Systems Control...
In this paper, a fast adaptive neural network classifier named FANNC is proposed. FANNC exploits the advantages of both adaptive resonance theory and field theory. It needs only one-pass learning, and achieves not only high predictive accuracy but also fast learning speed. Besides, FANNC has ...
篇名 A Fast Scalable Classifier Tightly Integrated with RDBMS 来源期刊 计算机科学技术学报(英文版) 学科 工学 关键词 年,卷(期) 2002,(2) 所属期刊栏目 研究方向 页码范围 152-159 页数 8页 分类号 TP3 字数 语种 英文 DOI 10.1007/BF02962207 五维指标 L研究深度权威性读者评价文章热度创新性10005010...