该数据集是由Terry Sejnowski，现在在索尔克研究所和加利福尼亚大学圣地亚哥的基准集合。该数据集是与约翰·霍普金斯大学的钱宁合作开发的。

Data Set Information:

这是Ning Qian和Terry Sejnowski在研究中使用的数据集，他们使用神经网络预测某些球状蛋白质的二级结构[1]。这个想法是获取一个氨基酸的线性序列，并预测每个氨基酸在蛋白质中的二级结构。有三种选择：阿尔法螺旋，贝塔表，和随机线圈。该数据集既包含大量的训练数据，也包含一组独特的数据，可用于测试生成的网络。Qian和Sejnowski使用了一种类似Nettalk的方法，并报告测试集的准确率为64.3%，他们推测这是仅使用本地上下文所能做到的最好的方法。

There is also a domain theory in the folder, donated and created by Jude Shavlik & Rich Maclin

Attribute Information:

N/A

Relevant Papers:

Ning Qian and Terrnece J. Sejnowski (1988), "Predicting the Secondary Structure of Globular Proteins Using Neural Network Models" in Journal of Molecular Biology 202, 865-884.  Academic Press.
[Web link]

Papers That Cite This Data Set¹:

Jianbin Tan and David L. Dowe. MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes. Australian Conference on Artificial Intelligence. 2003.  [View Context].

Mukund Deshpande and George Karypis. evaluation of Techniques for Classifying Biological Sequences. PAKDD. 2002.  [View Context].

Steven Eschrich and Nitesh V. Chawla and Lawrence O. Hall. Generalization Methods in Bioinformatics. BIOKDD. 2002.  [View Context].

Andreas L. Prodromidis. On the Management of Distributed Learning Agents Ph.D. Thesis Proposal CUCS-032-97. Department of Computer Science Columbia University. 1998.  [View Context].

Kamal Ali and Michael J. Pazzani. Error Reduction through Learning Multiple Descriptions. Machine Learning, 24. 1996.  [View Context].

Kuan-ming Lin and Chih-Jen Lin. A Study on Reduced Support Vector Machines. Department of Computer Science and Information Engineering National Taiwan University.  [View Context].

Citation Request:

Copyright (C) 1988 by Terrence J. Sejnowski.  Permission is hereby given to use the included data for non-commercial research purposes.  Contact the John Hopkins University, Cognitive Science Center, Baltimore MD, USA for information on commercial use.