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ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
14 years 7 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
ICASSP
2011
IEEE
14 years 1 months ago
How many known symbols are required for linear channel estimation in OFDM?
Training sequences for estimation of channel parameters have been well designed under the condition that the number of the unknown channel parameters is not greater than the numbe...
Shuichi Ohno, Emmanuel Manasseh, Masayoshi Nakamot...
KDD
2003
ACM
109views Data Mining» more  KDD 2003»
15 years 10 months ago
Experimental design for solicitation campaigns
Data mining techniques are routinely used by fundraisers to select those prospects from a large pool of candidates who are most likely to make a financial contribution. These tech...
Uwe F. Mayer, Armand Sarkissian
CP
2000
Springer
15 years 2 months ago
New Search Heuristics for Max-CSP
Abstract. This paper evaluates the power of a new scheme that generates search heuristics mechanically. This approach was presented and evaluated rst in the context of optimization...
Kalev Kask
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 1 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin