Publication date
October 1999
DOI Publisher
Elsevier BV ISSN
0166-218X Citation count (estimate)
5Abstract
We analyse the generalisation accuracy of standard techniques for the ‘logical analysis of data’, within a probabilistic framework
We analyse the generalisation accuracy of standard techniques for the ‘logical analysis of data’, within a probabilistic framework
AbstractWithin the context of a quantitative generalisation of the well established framework of Abs...
The analysis of quantitative data is central to scientific investigation. Probability theory, which ...
<p>Description of statistical methods used to evaluate the consistency assumption.</p
We analyse the generalisation accuracy of standard techniques for the ‘logical analysis of data’, wi...
We analyse the generalisation accuracy of standard techniques for the ‘logical analysis of data’, wi...
AbstractThis paper analyzes the predictive performance of standard techniques for the ‘logical analy...
This paper analyzes the predictive performance of standard techniques for the 'logical analysis of d...
AbstractWe analyse the generalisation accuracy of standard techniques for the ‘logical analysis of d...
Techniques for the logical analysis of binary data have successfully been applied to non-binary data...
AbstractTechniques for the logical analysis of binary data have successfully been applied to non-bin...
We present a method for approximating the semantics of probabilistic programs to the purpose of cons...
. The paper describes a new, logic-based methodology for analyzing observations. The key features of...
We apply techniques from probabilistic learning theory to analyse theoretically the accuracy of data...
Abstract — The calculation of variables of one metering type by the variables of others metering typ...
An approach to the assessment of probabilistic inference is described which quantifies the performan...
AbstractWithin the context of a quantitative generalisation of the well established framework of Abs...
The analysis of quantitative data is central to scientific investigation. Probability theory, which ...
<p>Description of statistical methods used to evaluate the consistency assumption.</p
We analyse the generalisation accuracy of standard techniques for the ‘logical analysis of data’, wi...
We analyse the generalisation accuracy of standard techniques for the ‘logical analysis of data’, wi...
AbstractThis paper analyzes the predictive performance of standard techniques for the ‘logical analy...
This paper analyzes the predictive performance of standard techniques for the 'logical analysis of d...
AbstractWe analyse the generalisation accuracy of standard techniques for the ‘logical analysis of d...
Techniques for the logical analysis of binary data have successfully been applied to non-binary data...
AbstractTechniques for the logical analysis of binary data have successfully been applied to non-bin...
We present a method for approximating the semantics of probabilistic programs to the purpose of cons...
. The paper describes a new, logic-based methodology for analyzing observations. The key features of...
We apply techniques from probabilistic learning theory to analyse theoretically the accuracy of data...
Abstract — The calculation of variables of one metering type by the variables of others metering typ...
An approach to the assessment of probabilistic inference is described which quantifies the performan...
AbstractWithin the context of a quantitative generalisation of the well established framework of Abs...
The analysis of quantitative data is central to scientific investigation. Probability theory, which ...
<p>Description of statistical methods used to evaluate the consistency assumption.</p
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