Henrik Boström

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Resolution has been used as a specialisation operator in several approaches to top-down induction of logic programs. This operator allows the overly general hypothesis to be used as a declarative bias that restricts not only what predicate symbols can be used in produced hypotheses, but also how the predicates can be invoked. The two main strategies for(More)
The computational cost of using nearest neighbor classification often prevents the method from being applied in practice when dealing with high-dimensional data, such as images and micro arrays. One possible solution to this problem is to reduce the dimensionality of the data, ideally without loosing predictive performance. Two different dimensionality(More)
The algorithm SPECTRE specializes logic programs with respect to positive and negative examples by applying the transformation rule unfolding together with clause removal. The method IMPUT presented in this paper gives a modified version of this algorithm by integrating the algorithmic debugging system IDTS with SPECTRE. The main idea of the IMPUT method is(More)
Documents can be assigned keywords by frequency analysis of the terms found in the document text, which arguably is the primary source of knowledge about the document itself. By including a hierarchically organised domain speciic thesaurus as a second knowledge source the quality of such keywords was improved considerably, as measured by match to previously(More)
A supervised classification method for time series, even multivariate, is presented. It is based on boosting very simple classifiers: clauses with one literal in the body. The background predicates are based on temporal intervals. Two types of predicates are used: i) relative predicates, such as “increases” and “stays”, and ii) region predicates, such as(More)
Three different multivariate statistical methods, PLS discriminant analysis, rule-based methods, and Bayesian classification, have been applied to multidimensional scoring data from four different target proteins: estrogen receptor alpha (ERalpha), matrix metalloprotease 3 (MMP3), factor Xa (fXa), and acetylcholine esterase (AChE). The purpose was to build(More)