In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
The Named Entity Recognition (NER) task has been garnering significant attention in NLP as it helps improve the performance of many natural language processing applications. In th...
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Using virtual machines as a resource provisioning mechanism offers multiple benefits, most recently exploited by “infrastructure-as-a-service” clouds, but also poses several...