Assembly is an NP-Hard problem, which involves comparing fragments that have a time complexity of O(n2 ). This paper presents a parallel approach for sequence assembly. The parall...
Sara Nasser, Adrienne Breland, Frederick C. Harris...
In this paper, we present a new rule induction algorithm for machine learning in medical diagnosis. Medical datasets, as many other real-world datasets, exhibit an imbalanced clas...
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
: For microarray based cancer classification, feature selection is a common method for improving classifier generalisation. Most wrapper methods use cross validation methods to eva...
A statistical classification algorithm and its application to language identification from noisy input are described. The main innovation is to compute confidence limits on the cl...