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same graph 9.95353E-4
complete training 9.90751E-4
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algorithm determining 9.80275E-4
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syntactic tree 9.598530000000001E-4
space kernel 9.57095E-4
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tree isomorphism 9.25679E-4
data structures 9.25261E-4
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model 9.10504E-4
structured data 9.09863E-4
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the set 9.07291E-4
training instance 9.06205E-4
other features 9.00934E-4
efficient kernel 8.94281E-4
first step 8.93744E-4
tree fragment 8.872610000000001E-4
different kernels 8.85347E-4
different versions 8.78675E-4
computational time 8.77776E-4
natural language 8.76166E-4
same type 8.754030000000001E-4
set properties 8.714809999999999E-4
kernel computation 8.657439999999999E-4
training examples 8.57025E-4
same machine 8.554890000000001E-4
above property 8.53095E-4
bijective function 8.52523E-4
intermediate set 8.475549999999999E-4
dags rules 8.470630000000001E-4
training phase 8.45456E-4
language processing 8.441049999999999E-4
first tdag 8.38354E-4
basic kernel 8.34123E-4
kernel functions 8.298159999999999E-4
kernel accuracy 8.24998E-4
training support 8.22251E-4
correct property 8.214590000000001E-4
sentence pair 8.20116E-4
first experiment 8.15803E-4
second pair 8.13512E-4
kernel kmax 8.11263E-4
max function 8.03128E-4
feature space 7.99969E-4
learning models 7.99515E-4
nel function 7.98012E-4
extracts figure 7.96685E-4
former kernel 7.952899999999999E-4
subgraph function 7.931349999999999E-4
larity function 7.931349999999999E-4
second property 7.89665E-4
time analysis 7.874990000000001E-4
alternative constraint 7.86433E-4
computing time 7.859830000000001E-4
third pair 7.853669999999999E-4
milk figure 7.83364E-4
prototypical kernel 7.777229999999999E-4
execution time 7.7287E-4
maximum number 7.677140000000001E-4
same sym 7.675220000000001E-4
sample pair 7.66383E-4
possible correspondences 7.653460000000001E-4
general graph 7.64989E-4
machine learning 7.64707E-4
tion time 7.61577E-4
algorithm 7.61015E-4
possible intersections 7.60827E-4
possible correspon 7.60827E-4
graph matching 7.49343E-4
