Regression-based nearest neighbour hot decking
نویسندگان
چکیده
منابع مشابه
INSTANCE-BASED LEARNING: Nearest Neighbour with Generalisation
Instance-based learning is a machine learning method that classifies new examples by comparing them to those already seen and in memory. There are two types of instance-based learning; nearest neighbour and case-based reasoning. Of these two methods, nearest neighbour fell into disfavour during the 1980s, but regained popularity recently due to its simplicity and ease of implementation. Nearest...
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Let X1, . . . ,Xn be identically distributed random vectors in R d, independently drawn according to some probability density. An observation Xi is said to be a layered nearest neighbour (LNN) of a point x if the hyperrectangle defined by x and Xi contains no other data points. We first establish consistency results on Ln(x), the number ∗The second author’s research was sponsored by NSERC Grant...
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Outlier detection is an important research area forming part of many application domains. Specific application domains call for specific detection techniques, while the more generic ones can be applied in a large number of scenarios with good results. This survey tries to provide a structured and comprehensive overview of the research on Nearest Neighbor Based Outlier Detection listing out vari...
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Perhaps the most straightforward classifier in the arsenal or machine learning techniques is the Nearest Neighbour Classifier – classification is achieved by identifying the nearest neighbours to a query example and using those neighbours to determine the class of the query. This approach to classification is of particular importance today because issues of poor run-time performance is not such...
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ژورنال
عنوان ژورنال: Computational Statistics
سال: 2000
ISSN: 0943-4062,1613-9658
DOI: 10.1007/s001800050037