With the advent of high throughput technologies, feature selection has become increasingly important in a wide range of scientific disciplines. We propose a new feature selection ...
Abstract. Feature selection is an important task in data mining because it allows to reduce the data dimensionality and eliminates the noisy variables. Traditionally, feature selec...
A distributed information retrieval system with resourceselection and resultset merging capability was used to search subsets of the GOV2 document corpus for the 2008 TREC Million...
Christopher T. Fallen, Gregory B. Newby, Kylie McC...
We consider a video streaming application over P2P networks and introduce the P2P on-line server selection problem. This task is related to the classic K-server problem, known fro...
We consider the model selection problem for support vector machines applied to binary classification. As the data generating process is unknown, we have to rely on heuristics as mo...