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...
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...
The flexibility provided by hardware virtualization allows administrators to rapidly create, destroy, and migrate systems across physical hosts. Unfortunately, the storage systems...
Dutch T. Meyer, Brendan Cully, Jake Wires, Norman ...
Tight data- and timing constraints are imposed by communication and multimedia applications. The architecture for the embedded processor imply resource constraints. Instead of ran...
Carlos A. Alba Pinto, Bart Mesman, Jochen A. G. Je...
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...