Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Manuel Graña,Carlos Toro,Robert J. Howlett,Lakhmi C. Jain +3 more
- 01 Jan 2013
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TL;DR: The ensemble machine learning methods incorporating random subspace and random forest employing genetic fuzzy rule-based systems as base learning algorithms were developed in Matlab environment and applied to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions.
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About: The article was published on 01 Jan 2013. The article focuses on the topics: Knowledge engineering.
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Comparison of Ensemble Approaches: Mixture of Experts and AdaBoost for a Regression Problem
Tadeusz Lasota,Bartosz Londzin,Zbigniew Telec,Bogdan Trawiński +3 more
- 07 Apr 2014
TL;DR: Two machine learning approaches: mixture of experts and AdaBoost.R2 adjusted to the real-world regression problem of predicting the prices of residential premises based on historical data of sales/purchase transactions and no statistically significant differences were observed among the best ensembles.
9
References
•Book
Introduction to Modern Information Retrieval
Gerard Salton,Michael J. McGill +1 more
- 01 Jan 1983
TL;DR: Reading is a need and a hobby at once and this condition is the on that will make you feel that you must read.
12.6K
•Journal Article
Statistical Comparisons of Classifiers over Multiple Data Sets
TL;DR: A set of simple, yet safe and robust non-parametric tests for statistical comparisons of classifiers is recommended: the Wilcoxon signed ranks test for comparison of two classifiers and the Friedman test with the corresponding post-hoc tests for comparisons of more classifiers over multiple data sets.
Survey of clustering algorithms
Rui Xu,Donald C. Wunsch +1 more
TL;DR: Clustering algorithms for data sets appearing in statistics, computer science, and machine learning are surveyed, and their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts are illustrated.
•Book
Foundations of databases
Serge Abiteboul,Richard Hull,Victor Vianu +2 more
- 02 Dec 1994
TL;DR: This book discusses Languages, Computability, and Complexity, and the Relational Model, which aims to clarify the role of Semantic Data Models in the development of Query Language Design.
4.6K