275 search results - page 41 / 55 » Scalable Data Mining with Model Constraints |
126
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
In this paper, we introduce a generic framework for semi-supervised kernel learning. Given pairwise (dis-)similarity constraints, we learn a kernel matrix over the data that respe...
108
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
We consider the problem of estimating occurrence rates of rare events for extremely sparse data, using pre-existing hierarchies to perform inference at multiple resolutions. In pa...
116
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--Recently, the following discrimination aware classification problem was introduced: given a labeled dataset and an attribute , find a classifier with high predictive accu...
152
Voted
CIKM
2010
Springer
15 years 2 months ago
2010
Springer
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
131
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...