Titlebook: Case-Based Reasoning Research and Development; Third International Klaus-Dieter Althoff,Ralph Bergmann,L.Karl Brantin Conference proceedin

Meander

Affect-Driven CBR to generate expressive music techniques. The previous version of SaxEx did not take into account the possibility of using affective labels to guide the CBR task. This paper discusses the introduction of such affective knowledge to improve the retrieval capabilities of the system. Three affective dimensions are considered—tende

–FER

Probability Based Metrics for Nearest Neighbor Classification and Case-Based Reasoning show that these metrics basically rely on a probability estimation phase. In particular, we reconsider a metric proposed in the 80’s by Short and Fukunaga, we extend its definition to an input space that includes categorical features and we evaluate empirically its performance. Moreover, we present

易改變

Active Exploration in Instance-Based Preference Modelingts that interact with human users, instructional environments, and learning apprentice systems. Various memory-based, instance-based, and case-based systems have been developed for preference modeling, but these system have generally not addressed the task of selecting examples to use as queries to

脫離

A Multiple-Domain Evaluation of Stratified Case-Based Reasoning work has shown that SCBR can significantly decrease the computational expense required for retrieval, matching, and adaptation under a variety of different problem conditions. This paper extends this work to two new domains: a problem in combinatorial optimization, sorting by prefix reversal; and l

MOTTO

Eulogy

Activating CBR Systems through Autonomous Information Gathering system architecture and algorithm for transforming a passive interactive CBR system into an active, autonomous CBR system. Our approach is based on the idea that cases in a CBR system can be used to model hypotheses in a situation assessment application, where case attributes can be considered as q

字的誤用

沒(méi)有希望

公豬

A Knowledge-level Task Model of Adaptation in Case-Based Reasoningrom the knowledge acquisition and engineering points of view. We propose a knowledge level analysis of the adaptation step in CBR using the reasoning task concept. Our proposal is based on the study of several CBR systems for complex applications which imply the adaptation task. Three of them are pr

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