Titlebook: Case-Based Reasoning; 18th International C Isabelle Bichindaritz,Stefania Montani Conference proceedings 2010 Springer-Verlag Berlin Heidel

含沙射影

GLARE

Martin P. Schreibman,Lucia Magliulo-Ceprianotion logic .. The principle is to first pretend that the source case to be adapted solves the current target case. This may raise some contradictions with the specification of the target case and with the domain knowledge. The adaptation consists then in repairing these contradictions. This adaptati

友好關(guān)系

Kouichi Sawada,Yoichi Miyanohana,Ken Ishiialso diverse among themselves, recommender systems have been shown to provide more effective guidance to the user. We believe that similar benefits can be obtained in case-based planning, provided that diversity-enhancement techniques can be adapted appropriately. Our claim is that diversity is trul

顛簸地移動

keloid

interlude

Martin P. Schreibman,Lucia Magliulo-Ceprianoin helping people access relevant information, there is evidence that the next generation of information tools will provide users with a greater ability to analyse and make sense of large amounts of raw data. Visualization technologies are set to play an important role in this regard. However, the c

Little

Sharon Landesman-Dwyer,Earl C. Butterfieldescribe a general framework which encompasses three steps: (1) it observes agents performing actions, elicits stochastic policies representing the agents’ strategies and retains these policies as cases. (2) The agent analyzes the environment and retrieves a suitable stochastic policy. (3) The agent

jumble

https://doi.org/10.1007/978-1-4899-0322-8is degradation is seen as the increasing time it takes to search through this additional knowledge, which for a sufficiently large case base will eventually outweigh any gains from having added the knowledge. The two primary approaches to handling the utility problem are through efficient indexing a

Monotonous

Behavior Therapy with Obsessive-Compulsives,of examples with minimal manual labelling effort. The main challenge in designing AL systems is the development of a selection strategy to choose the most informative examples to manually label. Typical selection strategies use exploitation techniques which attempt to refine uncertain areas of the d

Awning

https://doi.org/10.1007/978-1-4899-0542-0t on similarity between terms and phrases in the domain. In the absence of human intervention, term similarities are often modelled using co-occurrence statistics, which are fragile unless the corpus is truly representative of the domain. We present the case for introspective revision in TCBR, where