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info.json
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info.json
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{
"abstract": "This paper reviews and extends the field of similarity-based classification,\npresenting new analyses, algorithms, data sets, and a comprehensive set of\nexperimental results for a rich collection of classification problems.\nSpecifically, the generalizability of using similarities as features is\nanalyzed, design goals and methods for weighting nearest-neighbors for\nsimilarity-based learning are proposed, and different methods for consistently\nconverting similarities into kernels are compared. Experiments on eight real\ndata sets compare eight approaches and their variants to similarity-based\nlearning.",
"authors": [
"Yihua Chen",
"Eric K. Garcia",
"Maya R. Gupta",
"Ali Rahimi",
"Luca Cazzanti"
],
"id": "chen09a",
"issue": 27,
"pages": [
747,
776
],
"title": "Similarity-based Classification: Concepts and Algorithms",
"volume": "10",
"year": "2009"
}