We describe an efficient technique to weigh word-based features in binary classification tasks and show that it significantly improves classification accuracy on a range of proble...
Justin Martineau, Tim Finin, Anupam Joshi, Shamit ...
Though toolkits exist to create complex crowdsourced workflows, there is limited support for management of those workflows. Managing crowd workers and tasks requires significant i...
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
Application Specific Instruction-Set Processors (ASIPs) offer designers the ability for high-speed data and control processing with the added flexibility needed for late design sp...