Titlebook: Case-Based Reasoning Research and Development; 25th International C David W. Aha,Jean Lieber Conference proceedings 2017 Springer Internati

FORGO

Ondines-curse

马具

Oracle RMAN Database Duplication in the case base, using the . (CDH). In previous research we presented Ensembles of Adaptations for Regression (EAR), an approach that uses a CDH-based method to generate adaptation rules and then exploits the availability of multiple learned rules to apply ensemble-based adaptation. We extended EA

大暴雨

搜寻

Oracle RMAN Database Duplicationefining different difficulty levels or even different sets of behaviors that the non-player characters will use depending on the player profile. It is possible to use different machine learning techniques to automatically classify players in broader groups with distinctive behaviors and then dynamic

水槽

Oracle RMAN Database Duplicationergy management, such as PID controllers (PID = proportional-integral-derivative loops), control target values efficiently but are sub-optimal in terms of energy consumption. The paper presents a novel, case-based reasoning approach for inert energy management systems that aims to reduce energy wast

善于骗人

Oracle RMAN Database Duplicationcapability of relating semantic structures such as taxonomies to actions in the traces can enable trace comparison to work at different levels of abstraction and, therefore, to mask irrelevant details, and make the identification of similar traces much more flexible. In this paper, we propose a trac

文字

abreast

https://doi.org/10.1007/978-1-4842-1112-0on between human and machine to generate valuable music. Among the different approaches developed in the state of the art, the present research is focused on an intelligent system that generates melodies through a mechanical device guided by the user. The system is able to learn from previous compos

Fibrin