We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
In this paper we introduce a machine learning approach for automatic text segmentation. Our text segmenter clusters text-segments containing similar concepts. It first discovers th...
This paper evaluates asymmetric cluster chip multiprocessor (ACCMP) architectures as a mechanism to achieve the highest performance for a given power budget. ACCMPs execute serial ...
T. Y. Morad, Uri C. Weiser, A. Kolodnyt, Mateo Val...
ct 9 Marketing segmentation is widely used for targeting a smaller market and is useful for decision makers to reach all customers effec10 tively with one basic marketing mix. Alt...
This paper presents a new approach to software reliability modeling by grouping data into clusters of homogeneous failure intensities. This series of data clusters associated with...