Add to ORKGHumans are known to classify objects based on its similarity to previously encountered objects. Similarity-assessment is partly a top-down process, that is, what is regarded as similar depends on background knowledge. This thesis proposes techniques how to integrate various types of background knowledge into technical similarity measures. A special focus is how to treat incorrect or incomplete knowledge
This study investigates similarity judgments from two angles. First, we look at models suggested in ...
Intuitively, the concept of similarity is the notion to measure an inexact matching between two enti...
A general model is described that views similarity judgment as a contrasting of product features. Th...
Abstract. This paper proposes to enhance similarity-based classification with different types of imp...
This paper proposes to enhance similarity-based classification by virtual attributes from imperfect ...
While most approaches to similarity assessment are oblivious of knowledge and goals, there is ample ...
Abstract. A very recent topic in CBR research deals with the automated optimisation of similarity me...
Abstract Knowledge that quantifies the similarity between complex objects forms a vital part of prob...
Abstract: Traditionally, similarity between two objects is calculated by using only their attribute ...
Similarity measures based on feature matching have been designed for modelling subjective similarity...
Similarity can be viewed as the degree of resemblance between two objects or events. This is thought...
This paper reports on and discusses experiments evaluating our model of detecting similarities and a...
The background of this paper is the area of case-based reasoning. This is a reasoning technique wher...
Vital to the success of many machine learning tasks is the ability to reason about how objects relat...
In this study, first, concept similarity measures are evaluated over human judgments by using existi...
This study investigates similarity judgments from two angles. First, we look at models suggested in ...
Intuitively, the concept of similarity is the notion to measure an inexact matching between two enti...
A general model is described that views similarity judgment as a contrasting of product features. Th...
Abstract. This paper proposes to enhance similarity-based classification with different types of imp...
This paper proposes to enhance similarity-based classification by virtual attributes from imperfect ...
While most approaches to similarity assessment are oblivious of knowledge and goals, there is ample ...
Abstract. A very recent topic in CBR research deals with the automated optimisation of similarity me...
Abstract Knowledge that quantifies the similarity between complex objects forms a vital part of prob...
Abstract: Traditionally, similarity between two objects is calculated by using only their attribute ...
Similarity measures based on feature matching have been designed for modelling subjective similarity...
Similarity can be viewed as the degree of resemblance between two objects or events. This is thought...
This paper reports on and discusses experiments evaluating our model of detecting similarities and a...
The background of this paper is the area of case-based reasoning. This is a reasoning technique wher...
Vital to the success of many machine learning tasks is the ability to reason about how objects relat...
In this study, first, concept similarity measures are evaluated over human judgments by using existi...
This study investigates similarity judgments from two angles. First, we look at models suggested in ...
Intuitively, the concept of similarity is the notion to measure an inexact matching between two enti...
A general model is described that views similarity judgment as a contrasting of product features. Th...