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129
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
134
Voted
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
124
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
124
Voted
ICML
1997
IEEE
16 years 4 months ago
1997
IEEE
In recent years there has been a flurry of works on learning probabilistic belief networks. Current state of the art methods have been shown to be successful for two learning scen...
150
Voted
KDD
2008
ACM
16 years 4 months ago
2008
ACM
Rapid growth in the amount of data available on social networking sites has made information retrieval increasingly challenging for users. In this paper, we propose a collaborativ...