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In this paper , we extend traditional linear FKT to enable it to work in multi-class problem and also in higher dimensional -LRB- kernel -RRB- subspaces and therefore provide enhanced discrimination ability .
 used for: linear FKT, it; used for: it, multi-class problem; used for: it, higher dimensional -LRB- kernel -RRB- subspaces; feature of: it, discrimination ability; conjunction: multi-class problem, higher dimensional -LRB- kernel -RRB- subspaces
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: linear FKT, it; used for: it, multi-class problem; used for: it, higher dimensional -LRB- kernel -RRB- subspaces; feature of: it, discrimination ability; conjunction: multi-class problem, higher dimensional -LRB- kernel -RRB- subspaces