Titlebook: Support Vector Machines Applications; Yunqian Ma,Guodong Guo Book 2014 Springer International Publishing Switzerland 2014 Business Intelli

Thoracic

书目名称Support Vector Machines Applications影响因子(影响力)




书目名称Support Vector Machines Applications影响因子(影响力)学科排名




书目名称Support Vector Machines Applications网络公开度




书目名称Support Vector Machines Applications网络公开度学科排名




书目名称Support Vector Machines Applications被引频次




书目名称Support Vector Machines Applications被引频次学科排名




书目名称Support Vector Machines Applications年度引用




书目名称Support Vector Machines Applications年度引用学科排名




书目名称Support Vector Machines Applications读者反馈




书目名称Support Vector Machines Applications读者反馈学科排名

吸引力

http://image.papertrans.cn/t/image/882143.jpg

canonical

LIMN

Yunqian Ma,Guodong GuoFocus on current developments in the field of Support Vector Machines.Illustrates critical applications of support vector machines to important real world problems.Provides critical review of the stat

构成

DEMUR

ornithology

Multi-Class Support Vector Machine, from . × . to . by introducing a relaxed classification error bound. The experimental discussion demonstrates that the SimMSVM approach can greatly speed up the training process, while maintaining a competitive classification accuracy.

合唱团

Security Evaluation of Support Vector Machines in Adversarial Environments,VMs in real-world security problems. For each attack technique, we evaluate its impact and discuss whether (and how) it can be countered through an adversary-aware design of SVMs. Our experiments are easily reproducible thanks to . code that we have made available, together with all the employed datasets, on a public repository.

interference

Desert

Novel Inductive and Transductive Transfer Learning Approaches Based on Support Vector Learning,tive transfer learning, domain adaptation kernelized support vector machine (DAKSVM) and its two extensions are proposed, which can reduce the distribution gap between different domains in an RKHS as much as possible by integrating the large margin learner with the proposed generalized projected maximum distribution distance (GPMDD) metric.