![]() Permission is hereby given to use the included data for non-commercial research purposes. Department of Computer Science and Information Engineering National Taiwan University.Ĭopyright (C) 1988 by Terrence J. A Study on Reduced Support Vector Machines. Error Reduction through Learning Multiple Descriptions. Department of Computer Science Columbia University. On the Management of Distributed Learning Agents Ph.D. Generalization Methods in Bioinformatics. Evaluation of Techniques for Classifying Biological Sequences. Australian Conference on Artificial Intelligence. MML Inference of Decision Graphs with Multi-way Joins and Dynamic Attributes. Sejnowski (1988), "Predicting the Secondary Structure of Globular Proteins Using Neural Network Models" in Journal of Molecular Biology 202, 865-884. There is also a domain theory in the folder, donated and created by Jude Shavlik & Rich Maclin Qian and Sejnowski use a Nettalk-like approach and report an accuracy of 64.3% on the test set, and they speculate that this is about the best that can be done using only local context. The data set contains both a large set of training data and a distinct set of data that can be used for testing the resulting network. There are three choices: alpha-helix, beta-sheet, and random-coil. The idea is to take a linear sequence of amino acids and to predict, for each of these amino acids, what secondary structure it is a part of within the protein. ![]() This is a data set used by Ning Qian and Terry Sejnowski in their study using a neural net to predict the secondary structure of certain globular proteins. ![]() The data set was developed in collaboration with Ning Qian of Johns-Hopkins University. ![]() The data set was contributed to the benchmark collection by Terry Sejnowski, now at the Salk Institute and the University of California at San Deigo. Molecular Biology (Protein Secondary Structure) Data Setĭownload: Data Folder, Data Set DescriptionĪbstract: From CMU connectionist bench repository Classifies secondary structure of certain globular proteins Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. ![]()
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