All Outputs (2)

Learning Chomsky-like grammars for biological sequence families (2000)
Conference Proceeding
Muggleton, S., Bryant, C., & Srinivasan, A. (2000). Learning Chomsky-like grammars for biological sequence families. In P. Langley (Ed.), Proceedings of the 17th International Conference on Machine Learning (631-638)

This paper presents a new method of measuring performance when positives are rare and investigates whether Chomsky-like grammar representations are useful for learning accurate comprehensible predictors of members of biological sequence families. The... Read More about Learning Chomsky-like grammars for biological sequence families.

Measuring performance when positives are rare: relative advantage versus predictive accuracy - a biological case-study (2000)
Conference Proceeding
Muggleton, S., Bryant, C., & Srinivasan, A. (2000). Measuring performance when positives are rare: relative advantage versus predictive accuracy - a biological case-study. In R. de Mántaras, & E. Plaza (Eds.), Machine learning: ECML 2000: 11th European conference on machine learning, Barcelona, Catalonia, Spain, May 31-June 2 2000 (300-312)

This paper presents a new method of measuring performance when positives are rare and investigates whether Chomsky-like grammar representations are useful for learning accurate comprehensible predictors of members of biological sequence families. The... Read More about Measuring performance when positives are rare: relative advantage versus predictive accuracy - a biological case-study.