| 基于SVM增量学习的用户适应性研究 |
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| 引用本文： | 彭彬彬,金翔宇,等.基于SVM增量学习的用户适应性研究[J].计算机科学,2003,30(3):75-79. |
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| 作者姓名： | 彭彬彬 金翔宇 |
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| 作者单位： | 南京大学软件新技术国家重点实验室,计算机科学与技术系,南京,210093 |
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| 基金项目： | 国家自然科学基金(编号:69903006) |
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| 摘 要： | 1.引言人机交互技术(Human-Computer Interaction,HCI)是一门新兴的边缘学科,在近十几年内迅速形成并得到发展。人机交互是对于人、计算机技术以及它们相互影响方式的研究,其目的是为了使计算机技术更加适合于人。用户意图预测(User Intention Prediction)是智能化人机交互的关键所在。对一个多用户系统而言,不同的用户具有不同的特性或习惯,
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| 关 键 词： | SVM 增量学习 用户适应性 图形识别 人机交互 支持向量机 机器学习 |
Study of SVM-Based Incremental Learning for User Adaptation |
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| PENG Bin-Bin JIN Xiang-Yu XU Xiao-Gang SUN Zheng-Xing.Study of SVM-Based Incremental Learning for User Adaptation[J].Computer Science,2003,30(3):75-79. |
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| Authors: | PENG Bin-Bin JIN Xiang-Yu XU Xiao-Gang SUN Zheng-Xing |
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| Abstract: | User adaptation is a critical and important problem. For users' specialization, such as Handwriting, Voice, Drawing Styles, the system is hard to adapt to all users. SVM-based incremental learning can find the most basic feature of different users and cast away the special user's character, so this method can adapt the different users without over fitting. In this paper, the repetitive learning strategy and other two incremental learning algorithms are presented for comparison. Based on theoretical analysis and experimental results, we draw the conclusion that SVM-based incremental learning can solve the user conflict problem. |
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| Keywords: | Support Vector Machine (SVM) Incremental learning Intelligent human-computer interface User conflict User adaptation |
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