Motivated by the increasing need to handle complex multidimensional data in location-based data warehouses, this paper proposes a powerful data model that is able to capture the c...
Modeling term dependence has been shown to have a significant positive impact on retrieval. Current models, however, use sequential term dependencies, leading to an increased que...
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
Probabilistic Latent Semantic Indexing is a novel approach to automated document indexing which is based on a statistical latent class model for factor analysis of count data. Fit...
In this paper, we suggest a linear programming formulation that allows for solving volume and capacity planning problems in semiconductor manufacturing systems. We assume a genera...