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IAT
2009
IEEE
15 years 1 months ago
Confusion and Distance Metrics as Performance Criteria for Hierarchical Classification Spaces
When intelligent systems reason about complex problems with a large hierarchical classification space it is hard to evaluate system performance. For classification problems, differ...
Wilbert van Norden, Catholijn M. Jonker
LREC
2008
110views Education» more  LREC 2008»
14 years 11 months ago
Evaluating Evaluation Metrics for Ontology-Based Applications: Infinite Reflection
In this paper, we discuss methods of measuring the performance of ontology-based information extraction systems. We focus particularly on the Balanced Distance Metric (BDM), a new...
Diana Maynard, Wim Peters, Yaoyong Li
BMCBI
2008
200views more  BMCBI 2008»
14 years 9 months ago
Defining functional distances over Gene Ontology
Background: A fundamental problem when trying to define the functional relationships between proteins is the difficulty in quantifying functional similarities, even when well-stru...
Angela del Pozo, Florencio Pazos, Alfonso Valencia
KAIS
2000
87views more  KAIS 2000»
14 years 9 months ago
An Index Structure for Data Mining and Clustering
Abstract. In this paper we present an index structure, called MetricMap, that takes a set of objects and a distance metric and then maps those objects to a k-dimensional space in s...
Xiong Wang, Jason Tsong-Li Wang, King-Ip Lin, Denn...
100
Voted
BMCBI
2011
14 years 1 months ago
Clustering gene expression data with a penalized graph-based metric
Background: The search for cluster structure in microarray datasets is a base problem for the so-called “-omic sciences”. A difficult problem in clustering is how to handle da...
Ariel E. Bayá, Pablo M. Granitto