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

SMART

Fault Diagnosis via Fusion of Information from a Case Stream,rmation fusion to do classification. The approach consists of two steps. First, we perform local anomaly detection on-board a machine to identify anomalous individual cases. Then, we monitor the stream of anomalous cases using a stream anomaly detector based on a sliding window approach. When the st

HAVOC

Case-Based Reasoning Research and Development978-3-319-24586-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

CERE

會(huì)犯錯(cuò)誤

Interferometric Flow Measurement may involve estimating how well a vehicle will perform when searching a designated area. We present CBE, a case-based estimation algorithm, and apply it to the task of predicting the performance of autonomous vehicles using simulators of varying fidelity and past performance. Since there are costs

享樂主義者

Surface Shear Stress Measurementsthin a decision-making agent that controls simulated unmanned air vehicles in Beyond Visual Range combat. PaGR stores in a case the goal, observations, and policy of a hostile aircraft, and uses cases to recognize the policies and goals of newly-observed hostile aircraft. In our empirical study of P

Autobiography

Particulate Measurement Methodstheir polarity (e.g., 56?% are positive). This analysis is known as aspect-level sentiment analysis. In this paper, we use document-level polarization to learn patterns for contextual polarity, which refers to finding whether a sentiment bearing word changes polarity in a given context. For example,

Cardioversion

Omnidirectional Short-Pass Filters,exploit sentiment-rich content to ascertain user opinion expressed over product aspects. Aspect aware sentiment analysis provides a more structured approach to product comparison. However, aspects extracted using NLP-based techniques remain?too large and lead to poor quality product comparison metri

退潮

Omnidirectional Optical Filtershigh quality recommendations, but also want to discover tracks and artists that they do not already know, newly released tracks, and the more niche music found in the ‘long tail’ of on-line music. Tag-based recommenders are not effective in this ‘long tail’ because relatively few people are listenin

規(guī)范要多

CINDERENDA and the DEATH of STARS ,,nlike other GDA agents, . uses cases consisting of hierarchical plans and semantic annotations of the expectations of those plans. Expectations indicate conditions that must be true when parts of the plan are executed. Using an ontology, semantic annotations are defined via inferred facts enabling .

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