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APPROX
2005
Springer
105views Algorithms» more  APPROX 2005»
15 years 10 months ago
The Complexity of Making Unique Choices: Approximating 1-in- k SAT
We study the approximability of 1-in-kSAT, the variant of Max kSAT where a clause is deemed satisfied when precisely one of its literals is satisfied. We also investigate differ...
Venkatesan Guruswami, Luca Trevisan
ICIC
2005
Springer
15 years 10 months ago
Methods of Decreasing the Number of Support Vectors via k-Mean Clustering
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-...
ISAAC
2005
Springer
122views Algorithms» more  ISAAC 2005»
15 years 10 months ago
Fast k-Means Algorithms with Constant Approximation
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran
IWANN
2005
Springer
15 years 10 months ago
Input and Structure Selection for k-NN Approximator
Abstract. This paper presents k-NN as an approximator for time series prediction problems. The main advantage of this approximator is its simplicity. Despite the simplicity, k-NN c...
Antti Sorjamaa, Nima Reyhani, Amaury Lendasse
HICSS
2002
IEEE
212views Biometrics» more  HICSS 2002»
15 years 9 months ago
Connectivity-Based k-Hop Clustering in Wireless Networks
Abstract. In this paper we describe several new clustering algorithms for nodes in a mobile ad hoc network. The main contribution is to generalize the cluster definition and forma...
Geng Chen, Fabian Garcia Nocetti, Julio Solano-Gon...