Generalised Weighting: A generic combining form for similarity metrics
نویسندگان
چکیده
In Case-Based Reasoning and in Machine Learning, an important concept is the similarity metric (or measure), a function which rates how similar two objects are, according to some criteria. We concentrate here on case-base queries – finding a case in a case-base which most resembles some probe case. Selecting what metrics are most appropriate is a key part of both designing, and using, a case-base.
منابع مشابه
Generalised Prioritisation: A New Way of Combining Similarity Metrics
We describe similarity metrics, which are a generalisa-tion of similarity measures having any partial order as their result type. We then present the main result of this paper by describing generalised prioritisation, a new way of combining similarity metrics. Generalised priori-tisation uses an indiierence relation on the degrees of similarity. We show that the use of the indiierence relation ...
متن کاملA Framework for Optimal Attribute Evaluation and Selection in Hesitant Fuzzy Environment Based on Enhanced Ordered Weighted Entropy Approach for Medical Dataset
Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Ex...
متن کاملQARLA: A Framework for the Evaluation of Text Summarization Systems
This paper presents a probabilistic framework, QARLA, for the evaluation of text summarisation systems. The input of the framework is a set of manual (reference) summaries, a set of baseline (automatic) summaries and a set of similarity metrics between summaries. It provides i) a measure to evaluate the quality of any set of similarity metrics, ii) a measure to evaluate the quality of a summary...
متن کاملWeight Intervals Conservatively adding quantified uncertainty to similarity
Numeric-valued similarity measures are the traditional means used in Case-Based Reasoning (CBR) systems for case retrieval, and for procedures such as clustering analysis and case classification. Similarity measures are customarily combined using the technique of taking the weighted sum of a vector of similarity values, each determined by the application of a single component measure. Osborne, ...
متن کاملPubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction
BACKGROUND Similarity-based retrieval of Electronic Health Records (EHRs) from large clinical information systems provides physicians the evidence support in making diagnoses or referring examinations for the suspected cases. Clinical Terms in EHRs represent high-level conceptual information and the similarity measure established based on these terms reflects the chance of inter-patient disease...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2000