摘要
本文提出了示例学习的抽象信道模型,引入一个新的特征选择量——信道容量.介绍了应用这个模型建立的示例学习系统IBLE及其用于质谱解析取得的结果.
The abstract channel model for learning from examples is presented and a new attribute selection measure (channel capacity) is introduced. The system IBLE of learning from examples built with the model and the results obtained by using IBLE for the interpretation of mass spectra are recommended.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1992年第1期37-43,共7页
Journal of Computer Research and Development
关键词
示例学习
人工智能
机器学习
抽象信道模型
learning from examples, information theory, ID, algorithm, channel capacity, interpretation of mass spectra.