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» Classification of Ordinal Data
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104
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NIPS
2001
15 years 5 months ago
Minimax Probability Machine
When constructing a classifier, the probability of correct classification of future data points should be maximized. In the current paper this desideratum is translated in a very ...
Gert R. G. Lanckriet, Laurent El Ghaoui, Chiranjib...
112
Voted
NIPS
2001
15 years 5 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
134
Voted
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 4 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
119
Voted
ICDE
2006
IEEE
165views Database» more  ICDE 2006»
15 years 9 months ago
Privacy Preserving Clustering on Horizontally Partitioned Data
Data mining has been a popular research area for more than a decade due to its vast spectrum of applications. The power of data mining tools to extract hidden information that can...
Ali Inan, Yücel Saygin, Erkay Savas, Ay&ccedi...
132
Voted
SEMWEB
2009
Springer
15 years 8 months ago
Semantic Enhancement for Enterprise Data Management
Taking customer data as an example, the paper presents an approach to enhance the management of enterprise data by using Semantic Web technologies. Customer data is the most import...
Li Ma, Xingzhi Sun, Feng Cao, Chen Wang, Xiaoyuan ...