The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
This paper focuses on the application of a new ACO-based automatic programming algorithm to the classification task of data mining. This new model, called GBAP algorithm, is based ...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Cloud computing has seen tremendous growth, particularly for commercial web applications. The on-demand, pay-as-you-go model creates a flexible and cost-effective means to access c...
Keith R. Jackson, Lavanya Ramakrishnan, Krishna Mu...
The Semantic Web is gaining immense popularity-and with it, the Resource Description Framework (RDF) broadly used to model Semantic Web content. However, access control on RDF sto...
Arindam Khaled, Mohammad Farhan Husain, Latifur Kh...