Description: In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression.[1] In both cases, the input consists of the k closest training examples in Platform: |
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Author:hera |
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Description: Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier—a limited, but well-established and comprehensively studied model—a Platform: |
Size: 1024 |
Author:hera |
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Description: Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or sep Platform: |
Size: 3072 |
Author:hera |
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Description: Data structure programming examples, including expression, polynomial, Huffman, internal sorting, parking, long integers and other common functions Platform: |
Size: 409600 |
Author:李小胆 |
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Description: The main programming theory graduate numerical analysis courses to achieve, which is what I was working with source code Platform: |
Size: 925696 |
Author:李小胆 |
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Description: Your e-mail account is not active validation failure cause, please click [verification mail] to validate your email and activate the account. Administrators how this is going to solve ah ah Platform: |
Size: 1986560 |
Author:minh |
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Description: The secondary development of ABAQUS duncanchang- eb constitutive model subroutine, used in geotechnical constitutive model. Platform: |
Size: 2048 |
Author:戴伟 |
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