Parameter Optimizations of Multi-class Support Vector Machine Based on Seeker Optimization Algorithm
نویسندگان
چکیده
منابع مشابه
Support Vector Machine Optimization Based On Magnetic Bacteria Optimization Algorithm
Classification performance of support vector machine (SVM) will be influenced by its model parameters. For this problem, a new method named magnetic bacteria optimization algorithm (MBOA) that optimizes the parameters of SVM is proposed. It is tested by the UCI standard data sets and compared with the other optimization algorithms, such as particle swarm optimization (PSO). Experimental results...
متن کاملA Multi-class Algorithm Model Based on p-class Support Vector Ordinal Regression Machine∗
Multi-class classification is an important and on-going research subject in machine learning. In this paper, we propose an algorithm model for k-class multi-class classification problem based on p-class (2≤ p≤ k) support vector ordinal regression machine (SVORM). A series of algorithms can be generated by selecting the different parameters p, L and the code matrix. When p = 2, they reduce to th...
متن کاملIncremental support vector machine algorithm based on multi-kernel learning
A new incremental support vector machine (SVM) algorithm is proposed which is based on multiple kernel learning. Through introducing multiple kernel learning into the SVM incremental learning, large scale data set learning problem can be solved effectively. Furthermore, different punishments are adopted in allusion to the training subset and the acquired support vectors, which may help to impro...
متن کاملAcoustic detection of apple mealiness based on support vector machine
Mealiness degrades the quality of apples and plays an important role in fruit market. Therefore, the use of reliable and rapid sensing techniques for nondestructive measurement and sorting of fruits is necessary. In this study, the potential of acoustic signals of rolling apples on an inclined plate as a new technique for nondestructive detection of Red Delicious apple mealiness was investigate...
متن کاملMulti-Class Support Vector Machine via Maximizing Multi-Class Margins
Support Vector Machine (SVM) is originally proposed as a binary classification model with achieving great success in many applications. In reality, it is more often to solve a problem which has more than two classes. So, it is natural to extend SVM to a multi-class classifier. There have been many works proposed to construct a multi-class classifier based on binary SVM, such as one versus rest ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Control and Automation
سال: 2016
ISSN: 2005-4297,2005-4297
DOI: 10.14257/ijca.2016.9.12.20