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Abstract: With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the term "prototypes " refers to the reference instances used in a nearest neighbor computation --- the instances with respect to which similarity is assessed in order to assign a class to a new data item. Both algorithms rely on stochastic techniques to search the space of sets of prototypes and are simple to implement. The ... (Update)
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BibTeX entry: (Update)
Skalak, D. (1994). Prototype and feature selection by sampling and random mutation hill climbing algorithms. In Proceedings of the Eleventh International Machine Learning Conference (pp. 293--301). New Brunswick, NJ: Morgan Kaufmann. http://citeseer.ist.psu.edu/skalak94prototype.html More
@inproceedings{ skalak94prototype,
author = "David B. Skalak",
title = "Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing Algorithms",
booktitle = "International Conference on Machine Learning",
pages = "293-301",
year = "1994",
url = "citeseer.ist.psu.edu/skalak94prototype.html" }
Citations (may not include all citations):2177 Programs for Machine Learning (context) - Quinlan - 1993
2133 Pattern Classification and Scene Analysis (context) - Duda, Hart - 1973
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291 Irrelevant Features and the Subset Selection Problem - George, Ron et al. - 1994
216 Very Simple Classification Rules Perform Well on Most Common.. (context) - Holte - 1993
125 Learning with Many Irrelevant Features - Almuallim, Dietterich - 1991
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111 The Feature Selection Problem: Traditional Methods and a New.. (context) - Kenji, Larry - 1992
87 Overfitting Avoidance as Bias - Schaffer - 1993
80 When Will a Genetic Algorithm Outperform Hill-Climbing - Mitchell, Holland - 1993
69 The Condensed Nearest Neighbor Rule (context) - Hart - 1968
65 A Study of Instance-Based Algorithms for Supervised Learning.. (context) - Aha - 1990
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59 Efficient Algorithms for Minimizing Cross Validation Error - Andrew, Lee - 1994
55 Asymptotic Properties of Nearest Neighbor Rules using Edited.. (context) - Wilson - 1972
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