In the domain of gene expression data analysis, various researchers have recently emphasized the promising application of pattern discovery techniques like association rule mining...
In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
COCONUT calibrates effort estimation models using an exhaustive search over the space of calibration parameters in a COCOMO I model. This technique is much simpler than other effo...
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn...
In this paper we propose using bin-ratio information, which is collected from the ratios between bin values of histograms, for scene and category classification. To use such info...
Accelerated by the technological advances in the domain, the size of the biomedical literature has been growing rapidly. As a result, it is not feasible for individual researchers...