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Outputs (146)

Developing production theory: What issues need to be taken into consideration? (2000)
Presentation / Conference
Rooke, J., Koskela, L., Howell, G., & Kagioglou, M. (2000, July). Developing production theory: What issues need to be taken into consideration?. Presented at IGLC 20, San Diego CA

The aim of this paper is to establish key issues that a theory of production should address, to conceptualize these issues and to sketch an account of their interaction. Aristotle's analyses of knowledge and causality are used, in conjunction with W... Read More about Developing production theory: What issues need to be taken into consideration?.

Ecological frameworks: The Cheshire example (2000)
Presentation / Conference
James, P., & North, M. (2000, July). Ecological frameworks: The Cheshire example. Presented at Society for Conservation Biology 16th Annual meeting, University of Kent at Canterbury

Ecological frameworks: The Cheshire example (2000)
Presentation / Conference
James, P., & North, M. (2000, July). Ecological frameworks: The Cheshire example. Presented at Society for Conservation Biology 16th Annual meeting, University of Kent at Canterbury

TempoMiner: towards mining time-oriented data (2000)
Thesis
Saraee, M. TempoMiner: towards mining time-oriented data. (Thesis). University of Manchester, Institute of Science and Technology

The time dimension is a unique and powerful dimension in every enterprise data. In dynamic application such as financial and medical applications representing data as it changes overtime is a common problem. There are diverse applications that requir... Read More about TempoMiner: towards mining time-oriented data.

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.

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.