language model 0.00292549
training data 0.002720545
data vector 0.002374622
eeg data 0.00237158
overall data 0.0023444
data matrix 0.002327844
data covariance 0.0023207949999999996
model information 0.002308131
data vectors 0.00223829
model score 0.002052052
language models 0.001975844
model integration 0.001803065
model fam 0.001773109
qda model 0.001773109
text input 0.001747306
many text 0.001626709
accurate language 0.0016257939999999999
text communication 0.001611207
modeling language 0.0016045719999999999
language modeling 0.0016045719999999999
language gen 0.001592982
letter text 0.001587593
stochastic language 0.0015867239999999999
expressive language 0.0015867239999999999
laptop system 0.0015562800000000002
model 0.00155572
system architecture 0.001549248
bci system 0.0015394900000000001
effective text 0.001536079
chosen text 0.001521432
electrode system 0.0015003870000000002
system clock 0.0014872330000000001
system speedups 0.0014872330000000001
system code 0.0014872330000000001
language 0.00136977
system 0.00126872
chine translation 0.001203614
target response 0.001180549
target class 0.0011030249999999999
target symbol 0.0010841029999999999
different areas 0.0010745849999999999
classification problem 0.001048256
different orders 0.001045446
such systems 0.0010045359999999999
translation 9.82259E-4
target symbols 9.71102E-4
input systems 9.322849999999999E-4
tal target 9.159729999999999E-4
target matching 8.874099999999999E-4
target onset 8.854189999999999E-4
typing interface 8.71523E-4
maximum number 8.70137E-4
classification accuracy 8.57862E-4
signal classification 8.523459999999999E-4
ing systems 8.46339E-4
classification rule 8.40791E-4
discriminant score 8.40578E-4
relative frequency 8.312949999999999E-4
possible application 8.27092E-4
discriminant analysis 8.21909E-4
overall score 8.198120000000001E-4
visual stimulus 8.15208E-4
such users 8.140129999999999E-4
detection problem 8.13826E-4
maximum value 8.124079999999999E-4
binary response 7.99049E-4
classification rsvp 7.92603E-4
bayesian classification 7.89239E-4
erp classification 7.84491E-4
components analysis 7.787320000000001E-4
visual scanning 7.74867E-4
english gigaword 7.655699999999999E-4
possible symbols 7.63024E-4
class label 7.56797E-4
bci systems 7.56729E-4
distractor response 7.55337E-4
visual stimuli 7.54465E-4
information 7.52411E-4
english alphabet 7.504969999999999E-4
temporal features 7.48739E-4
cumulative score 7.395570000000001E-4
class covariance 7.392119999999999E-4
first epoch 7.37639E-4
probability distributions 7.37461E-4
elty response 7.364559999999999E-4
visual presentation 7.32591E-4
ing application 7.31862E-4
correct symbol 7.31262E-4
posterior probability 7.27674E-4
maximum num 7.230489999999999E-4
writing systems 7.22331E-4
tree structure 7.209759999999999E-4
additional time 7.16892E-4
visual access 7.16788E-4
other hand 7.16781E-4
first place 7.160929999999999E-4
ditional probability 7.13902E-4
probability densities 7.13902E-4
mean number 7.07349E-4
various eeg 7.059709999999999E-4
