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ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
Feature selection, as a preprocessing step to machine learning, has been effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improvin...
ISBI
2004
IEEE
15 years 10 months ago
2004
IEEE
Recently, increasing attention has focused on exploring brain activity during rest. A current challenge is to ascertain activity patterns without using an external reference. In t...
EDBT
2008
ACM
15 years 10 months ago
2008
ACM
The k-anonymity model is a privacy-preserving approach that has been extensively studied for the past few years. To minimize the information loss due to anonymization, it is cruci...
PERCOM
2005
ACM
15 years 9 months ago
2005
ACM
In the last decade, e-learning has been introduced to a variety of blended learning scenarios, such as life-long learning, University lectures, and game-based learning. In all the...