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probability model 0.001447265
labeling model 0.0014057359999999999
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constant function 0.0013462259999999998
other loss 0.0013249199999999998
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function trick 0.001302989
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ity model 0.001285214
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function object 0.0012625499999999999
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regression models 0.001124002
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such strings 0.00109784
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first tape 0.0010639809999999999
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exact values 9.93326E-4
many functions 9.81612E-4
different decoding 9.79003E-4
maximization problem 9.71098E-4
general sequence 9.66246E-4
binary labels 9.484650000000001E-4
index set 9.465210000000001E-4
interesting case 9.427960000000001E-4
vector space 9.33587E-4
linear time 9.32453E-4
time linear 9.32453E-4
special case 9.31032E-4
exact computation 9.27855E-4
new state 9.1682E-4
approximate decoding 9.16336E-4
computational learning 9.159330000000001E-4
overall decoding 9.13255E-4
finite state 9.11075E-4
single state 9.004600000000001E-4
second time 8.966989999999999E-4
probability distribution 8.94857E-4
computational problem 8.924499999999999E-4
optimal hypothesis 8.9051E-4
binary sequence 8.824200000000001E-4
inner loop 8.7784E-4
final state 8.72394E-4
decoding algo 8.703560000000001E-4
error rate 8.682799999999999E-4
learning systems 8.60266E-4
different sequence 8.59216E-4
general framework 8.57525E-4
state classifier 8.56482E-4
inner maximization 8.54272E-4
total number 8.51114E-4
real vector 8.47523E-4
error bounds 8.47507E-4
inference task 8.471290000000001E-4
probabilistic sequence 8.452430000000001E-4
linear combination 8.449410000000001E-4
second loop 8.36657E-4
utility functions 8.360100000000001E-4
accessor method 8.35391E-4
models 8.34983E-4
state map 8.315180000000001E-4
sequence labeling 8.28369E-4
vector machines 8.24551E-4
maximum value 8.23928E-4
support vector 8.228020000000001E-4
simple class 8.2194E-4
problem statement 8.21254E-4
