Kernel functions have become an extremely popular tool in machine learning, with an attractive theory as well. This theory views a kernel as implicitly mapping data points into a possibly very high dimensional space, and describes a kernel function as being good for a given learning problem if ...
The second one is a vector-space similarity function that utilizes a Support Vector Machine (SVM) classi- fier (Vapnik, 1998) to discriminate between similar and dissimilar string pairs. As opposed to their static analogs, these similarity functions adapt to a particular domain using training ex...
Learning to hash: forgiving hash functions and applications Once learned, this similarity function is used as the basis of a hash function to severely constrain the number of points considered for each lookup. ... S Baluja,M Covell - 《Data Mining & Knowledge Discovery》 被引量: 83发表: 200...
The Monge–Elkan [61] similarity function has been proposed to deal with long strings. It compares each token of the first string with all tokens of the second to find the best match according to a secondary similarity function sim for tokens (e.g., the Levenshtein edit distance) and then...
The experimental results demonstrate the superior performance of the proposed distance function. In addition, an empirical runtime analysis demonstrates that the new approach is one of the best tree distance functions in terms of runtime efficiency. 展开 ...
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Lightweight string similarity function for javascript javascriptsearchtypostypescriptstringfuzzy-searchfuzzystring-similaritymisspellstring-match UpdatedJan 28, 2024 JavaScript agext/levenshtein Star86 Levenshtein distance and similarity metrics with customizable edit costs and Winkler-like bonus for common prefix...
This paper discusses a mathematical analysis for learning weights in a similarity function. Although there are many works on theoretical analyses of case-based reasoning systems [Aha 91, Albert 91, Janke 93, Langley 93], none has yet theoretically analyzed methods of producing a proper similarity ...
It seems that the function can only take raw document strings, but I have already processed my documents and I don’t need TfidfVectorizer to process any more other than to convert the entire set of documents into a tfidf matrix. I keep getting errors such as “TypeError: expected ...
How well is enzyme function conserved as a function of pairwise sequence identity? Enzyme function conservation has been used to derive the threshold of sequence identity necessary to transfer function from a protein of known function to ... W Tian,J Skolnick - 《Journal of Molecular Biology》 ...