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» Algorithms for Index-Assisted Selectivity Estimation
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113
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DAWAK
2009
Springer
15 years 7 months ago
Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data
The appropriate choice of a method for imputation of missing data becomes especially important when the fraction of missing values is large and the data are of mixed type. The prop...
Vadim V. Ayuyev, Joseph Jupin, Philip W. Harris, Z...
98
Voted
ALT
2008
Springer
15 years 9 months ago
Active Learning in Multi-armed Bandits
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
András Antos, Varun Grover, Csaba Szepesv&a...
121
Voted
CIKM
2006
Springer
15 years 4 months ago
A comparative study on classifying the functions of web page blocks
In this paper, we study the problem of learning block classification models to estimate block functions. We distinguish general models, which are learned across multiple sites, an...
Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
ATAL
2010
Springer
15 years 1 months ago
Role evolution in Open Multi-Agent Systems as an information source for trust
In Open Multi-Agent Systems (OMAS), deciding with whom to interact is a particularly difficult task for an agent, as repeated interactions with the same agents are scarce, and rep...
Ramón Hermoso, Holger Billhardt, Sascha Oss...
114
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NIPS
2008
15 years 2 months ago
On the Reliability of Clustering Stability in the Large Sample Regime
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
Ohad Shamir, Naftali Tishby