Title
System Evaluation of Construction Methods for Multi-class Problems Using Binary Classifiers.
Abstract
Construction methods for multi-valued classification (multi-class) systems using binary classifiers are discussed and evaluated by a trade-off model for system evaluation based on rate-distortion theory. Suppose the multi-class systems consisted of (M (ge 3)) categories and (N (ge M-1)) binary classifiers, then they can be represented by a matrix W, where the matrix W is given by a table of M code words with length N, called a code word table. For a document classification task, the relationship between the probability of classification error (P_e) and the number of binary classifiers N for given M is investigated, and we show that our constructed systems satisfy desirable properties such as “Flexible”, and “Elastic”. In particular, modified Reed Muller codes perform well: they are shown to be “Effective elastic”. As a second application we consider a hand-written character recognition task, and we show that the desirable properties are also satisfied.
Year
Venue
Field
2018
WorldCIST
Document classification,Discrete mathematics,Binary classification,Matrix (mathematics),Computer science,System evaluation,Code word,Reed–Muller code,Code (cryptography),Binary number
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
5
5
Name
Order
Citations
PageRank
Shigeichi Hirasawa1322150.91
Gendo Kumoi201.69
Manabu Kobayashi3117.44
Masayuki Goto404.73
H. Inazumi59213.83