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Abstract: This thesis combines an epistemological concern about induction with a computational exploration of inductive mechanisms. It aims to investigate how inductive performance could be improved by using induction to select appropriate generalisation procedures. The thesis revolves around a meta-learning system, called The Entrencher, designed to investigate how inductive performances could be improved by using induction to select appropriate generalisation procedures. The performance of The... (Update)
Context of citations to this paper: More
.... a vision specific instance of the bias variance dilemma well known in statistics and machine learning [Geman Bienenstock 1992] [Bensusan 1998]. That term refers to the trade off between . a priori bias resulting from the problem representation and hypothesis space search...
...and that the performances of some learners give an indication of the performances of others. Decision tree based characterisation [1,2]. Here, a decision tree is induced from the data and a number of measures, such as depth, shape and balance, are computed from it. The...
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BibTeX entry: (Update)
H. Bensusan. Automatic bias learning: an inquiry into the inductive basis of induction. PhD thesis, School of Cognitive and Computing Sciences, University of Sussex, 1999. http://citeseer.ist.psu.edu/article/bensusan99automatic.html More
@phdthesis{ bensusan99automatic,
author = "Hilan Bensusan",
title = "Automatic bias learning: An inquiry into the inductive basis of induction",
year = "1999",
url = "citeseer.ist.psu.edu/article/bensusan99automatic.html" }
Citations (may not include all citations):
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