Abstract. The development of large-scale case-based reasoning systems has increased the necessity of providing tools for analyzing the case base structure. In this paper we present a hierarchical competence model approach based on the solution qualities. Using this hierarchical approach we propose a new method for visualizing case base competence and understanding the way a CBR system behaves in different parts of the problem space. The visualization method has been used in the Tempo-Express system, a CBR system for applying expressivity-aware tempo transformations to recordings of musical performances.
International audienceCBR is an original AI paradigm based on the adaptation of solutions of past pr...
International audienceThe high influence of case bases quality on Case-Based Reasoning success gives...
International audienceThe high influence of case bases quality on Case-Based Reasoning success gives...
Case-based reasoning is a widely employed problem solving technique, which is successfully used in m...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
The paper discusses the different aspects concerning performance arising in multi-modal systems comb...
Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time...
A case in case-based reasoning is a contextualized piece of experience, which can be represented in ...
Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
International audienceCBR is an original AI paradigm based on the adaptation of solutions of past pr...
International audienceCBR is an original AI paradigm based on the adaptation of solutions of past pr...
An Experience Factory is an infrastructure for organizational learning in software development that ...
A particular strength of case-based reasoning (CBR) over most other methods is its inherent combinat...
International audienceCBR is an original AI paradigm based on the adaptation of solutions of past pr...
International audienceThe high influence of case bases quality on Case-Based Reasoning success gives...
International audienceThe high influence of case bases quality on Case-Based Reasoning success gives...
Case-based reasoning is a widely employed problem solving technique, which is successfully used in m...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
The paper discusses the different aspects concerning performance arising in multi-modal systems comb...
Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time...
A case in case-based reasoning is a contextualized piece of experience, which can be represented in ...
Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
International audienceCBR is an original AI paradigm based on the adaptation of solutions of past pr...
International audienceCBR is an original AI paradigm based on the adaptation of solutions of past pr...
An Experience Factory is an infrastructure for organizational learning in software development that ...
A particular strength of case-based reasoning (CBR) over most other methods is its inherent combinat...
International audienceCBR is an original AI paradigm based on the adaptation of solutions of past pr...
International audienceThe high influence of case bases quality on Case-Based Reasoning success gives...
International audienceThe high influence of case bases quality on Case-Based Reasoning success gives...