The success of a case-based reasoning system depends critically on the performance of the retrieval algorithm used and, specifically, on its efficiency, competence, and quality characteristics. In this paper we describe a novel retrieval technique that is guided by a model of case competence and that, as a result, benefits from superior efficiency, competence and quality features.

Evaluation criteria for conversational CBR (CCBR) systems are important to guide development and tuning of new methods, and to enable practitioners to make informed decisions about which methods to use. Traditional criteria for evaluating CCBR performance by precision and efficiency provide useful information, but are limited by their focus on the single point at which a case is selected at the...

We propose a local linear estimator of a smooth distribution function. This estimator applies local linear techniques to observations from a regression model in which the value of the empirical distribution function equals the value of true distribution plus an error term. We show that, for most commonly used kernel functions, our local linear estimator has a smaller asymptotic mean integrated ...

The research described in this paper focuses on global tempo transformations of monophonic audio recordings of saxophone jazz performances. More concretely, we have investigated the problem of how a performance played at a particular tempo can be automatically rendered at another tempo while preserving its expressivity. To do so we have developed a case-based reasoning system called TempoExpres...

Providing assurances of performance is an important aspect of successful development and commercialization of expert systems. However, this can only be done if the quality of the system can be assured through a rigorous and effective validation process. However, a generally accepted validation technique that can, if implemented properly, lead to a determination of validity (a validity statement...

In this paper we argue that conversational dialog systems must model a multidimensional space defined by syntactico-semantic, circumstantial, and interactional dimensions. We take as a testcase the interpretation of a very simple query type within a conversational navigation system that we have implemented. We outline the decision logic this system follows in interpreting next-turn and numbered...

This paper presents Cabata, a hybrid case-based reasoning system that has been developed at the The most characteristic feature of the system is the combination of model-based and case-based reasoning within a hybrid architecture.

Earl is a case-based reasoning system which works in the domain of sandwich recipes. It has a case base of 9,507 cases, each being a sandwich recipe which we scraped from the web. We show how Earl can compose new sandwiches from the ingredients of sandwiches that it retrieves from its case base. On each iteration, it inserts into the sandwich the candidate ingredient which results in greatest c...

This paper describes how to utilise Case Based Reasoning for identifying and user situations assessment in a contextaware mobile system. The Case Based Reasoning mechanism attempts to identify what situation the user is in, and utilises a Multi Agent System, consisting of information suppliers, to provide the user with personalised and contextsensitive information.