Abstract. Use of document genre in information retrieval systems has the potential to improve the task-appropriateness of results. However, genre classification remains a challengi...
Luanne Freund, Charles L. A. Clarke, Elaine G. Tom...
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
To better understand the central nervous system, neurobiologists need to reconstruct the underlying neural circuitry from electron microscopy images. One of the necessary tasks is...
This paper describes experiments to establish the performance of a named entity recognition system which builds categorized lists of names from manually annotated training data. N...
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...