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CICLING
2006
Springer
13 years 9 months ago
Improving kNN Text Categorization by Removing Outliers from Training Set
We show that excluding outliers from the training data significantly improves kNN classifier, which in this case performs about 10% better than the best know method--Centroid-based...
Kwangcheol Shin, Ajith Abraham, Sang-Yong Han
JSS
2008
157views more  JSS 2008»
13 years 5 months ago
Can k-NN imputation improve the performance of C4.5 with small software project data sets? A comparative evaluation
Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 5 months ago
Improved Smoothed Analysis of the k-Means Method
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
Bodo Manthey, Heiko Röglin
ICTAI
2010
IEEE
13 years 3 months ago
PKOPT: Faster k-Optimal Solution for DCOP by Improving Group Selection Strategy
A significant body of work in multiagent systems over more than two decades has focused on multi-agent coordination (1). Many challenges in multi-agent coordination can be modeled ...
Elnaz Bigdeli, Maryam Rahmaninia, Mohsen Afsharchi
CSL
1995
Springer
13 years 9 months ago
Improved Decision Procedures for the Modal Logics K, T, and S4
We propose so called contraction free sequent calculi for the three prominent modal logics K, T, and S4. Deduction search in these calculi is shown to provide more efficient decisi...
Jörg Hudelmaier