Search Results for author:
Found 4 papers, 0 papers with code
Minimizing Regret in Billboard Advertisement under Zonal Influence Constraint
In the second one, we introduce randomness with the first one, where we perform the marginal gain computation for a sample of randomly chosen billboard slots.
Towards Regret Free Slot Allocation in Billboard Advertisement
In the context of an influence provider, it is a loss for him if he offers more or less views.
Max-Margin Feature Selection
In this paper, we formulate the task of feature selection as a one class SVM problem in a space where features correspond to the data points and instances correspond to the dimensions.
Integrating K-means with Quadratic Programming Feature Selection
One of the popular ways to reduce the dimensionality of the data is to perform feature selection, i. e, select a subset of relevant and non-redundant features.
