https://github.com/lrei/nbsvm, Python implementation by Luis Rei, multiclass https://github.com/tkng/rakai, a Go implementation by tkng, probably imcomplete http://d.hatena.ne.jp/jetbead/20140916/1410798409, Perl! unfortunately cant read Japanese It appears to be used in these kaggle entri...
Recurrent neural network for text classification with multi-task learning --- Multi-Task --- by Pengfei Liu, Xipeng Qiu, Xuanjing Huang (Github) Neural network based methods have obtained great progress on a variety of natural language processing tasks. However, in most previous works, the mode...
103 - Day 6 Domain Adaptation and Transfer Learning Challenges 14:53 104 - Day 7 Transfer Learning Project FineTuning for a Custom Task 18:23 105 - Learn Python from Scratch Quick Tutorial 39:30 106 - Day 1 Welcome Message Generator Print Statements Hello World 12:08 107 - Day 2 ...
The determination of the values of the components of vectorθin Equation1is the result of a supervised learning algorithm. The matrixDbeing given, a training set is used to implement a kernel alignment principle introduced in [52]. In short, the objective function with respect to which vector...
Scikit-learn is a Python integration module which is developed for implemented in high-level languages. Scikit-learn presents a wide range of variety for implementing supervised and unsupervised machine learning methods [38]. ThunderSVM is an open source SVM software toolkit. It is built and used ...
Finally, through the extracted feature embeddings, we employed a Support Vector Machine (SVM) classifier at the machine learning stage to perform the multi-class classification task on individual Sika deer (Figure 2). Figure 2. Flowchart illustrating the re-identification and classification of ...
Su et al. [28] presented an SVM-based tracking method applying the loop structure of samples to process the first and second factors through the multi-core learning mechanism. Specifically, an SVM classification model for visual tracking was developed. This model combines two types of matrix ...
Multiple vulnerabilities in Cisco SD-WAN vManage Software could allow an unauthenticated, remote attacker to execute arbitrary code or allow an authenticated, local attacker to gain escalated privileges on an affected system. For more information about these vulnerabilities, see the Details section of th...
Su et al. [28] presented an SVM-based tracking method applying the loop structure of samples to process the first and second factors through the multi-core learning mechanism. Specifically, an SVM classification model for visual tracking was developed. This model combines two types of matrix loop...