Titlebook: Case-Based Reasoning Research and Development; 23rd International C Eyke Hüllermeier,Mirjam Minor Conference proceedings 2015 Springer Inte

needle

Surface Shear Stress Measurements assumptions about the hostile agent’s goal are incorrect, and can often correct these assumptions. We show that this ability improves PaGR’s policy recognition performance in comparison to a baseline algorithm.

臭名昭著

https://doi.org/10.1007/978-1-4757-4167-4n this context: feature matching, feature transformation matching, and feature transformation matching using fractal representations. We found that each method enables visual case retrieval under a different set of conditions pertaining to the nature of the skill demonstration.

Volatile-Oils

Incision, Exposure, and Closure of feedback and use that model to adapt its behavior. We evaluate our system in a simulated robotics domain by showing that a robot can learn a model of operator feedback and use that model to improve behavior adaptation.

描繪

Incision, Exposure, and Closureom a previously learned black box-like representation of similarity measures. Our experimental evaluations support the claim that, given some highly precise learned similarity measure, we can induce a less powerful, but human-understandable representation of it while its corresponding level of accuracy is only marginally impaired.

逢迎春日

K. Green,L. Cheeks,J. M. Chapmanreby addressing the common problem of adaptation knowledge acquisition. An empirical evaluation in the domain of cooking workflows was conducted which demonstrates convincing adaptation capabilities without a significant reduction of the workflows’ quality.

討人喜歡

Case Base Maintenance in Preference-Based CBR,lem solving, by reducing the size of the case base, while maintaining performance. To illustrate the effectiveness of our approach, we present a case study in which Pref-CBR is used for the repetitive traveling salesman problem.

懶惰民族

Case-Based Policy and Goal Recognition, assumptions about the hostile agent’s goal are incorrect, and can often correct these assumptions. We show that this ability improves PaGR’s policy recognition performance in comparison to a baseline algorithm.

證實

Arb853

Improving Trust-Guided Behavior Adaptation Using Operator Feedback, of feedback and use that model to adapt its behavior. We evaluate our system in a simulated robotics domain by showing that a robot can learn a model of operator feedback and use that model to improve behavior adaptation.

Pessary

Top-Down Induction of Similarity Measures Using Similarity Clouds,om a previously learned black box-like representation of similarity measures. Our experimental evaluations support the claim that, given some highly precise learned similarity measure, we can induce a less powerful, but human-understandable representation of it while its corresponding level of accuracy is only marginally impaired.