Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences. Conference paper. pp 176–188; Cite this conference paper. Download book ...

We first reproduce their results using updated data. Then, by using a measure for estimating the level of over-generalizations made by the mmgs, we show results ...

We first reproduce their results using updated data. Then, by using a measure for estimating the level of over-generalizations made by the mmgs, we show results ...

Abstract. We consider the problem of finding a set of patterns that best characterizes a set of strings. To this end, Arimura et. al. [3] considered.

We consider the problem of finding a set of patterns that best characterizes a set of strings. To this end, Arimura et. al. [3] considered the use of ...

Dive into the research topics of 'Measuring over-generalization in the minimal multiple generalizations of biosequences'. Together they form a unique ...

We first reproduce their results using updated data. Then, by using a measure for estimating the level of over-generalizations made by the mmgs, we show results ...

Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences. Y. Ng, H. Ono, und T. Shinohara. Discovery Science, Volume 3735 von ...

Apr 25, 2024 · Measuring Over-Generalization in the Minimal Multiple Generalizations of Biosequences. Discovery Science 2005: 176-188; 2001. [c1]. view.

Measuring over-generalization in the minimal multiple generalizations of biosequences. YK Ng, H Ono, T Shinohara. Discovery Science: 8th International ...