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131
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
157
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
130
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ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
125
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
116
click to vote
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...