feature vector 0.00279936
feature space 0.002768469
feature vectors 0.002543248
original feature 0.002489136
feature restructuring 0.00241434
input feature 0.00238193
training data 0.002330994
test data 0.002273602
unlabeled data 0.002244649
feature 0.00210333
labeled data 0.002094659
ing data 0.002081345
data original 0.0020363959999999998
data increases 0.00190844
structured data 0.001889092
data ranges 0.001888549
space model 0.001498027
kernel method 0.0014760469999999999
learning algorithm 0.00145013
vector space 0.0013611690000000002
learning algorithms 0.001323844
kernel function 0.001311774
method svm 0.001296326
high performance 0.001242218
global information 0.001240932
machine learning 0.001240784
new method 0.0012120899999999999
learning rules 0.001205289
semantic space 0.001187606
descent learning 0.001184233
transductive learning 0.001180569
neighbor method 0.001179075
information retrieval 0.001173769
categorization method 0.001172743
learning rule 0.00116
restructuring method 0.001150711
certain word 0.001149502
invaluable information 0.001129125
large number 0.001113696
representation model 0.001104538
original vector 0.001081836
ing kernel 0.001067101
linear classi 0.0010651620000000001
category number 0.0010632839999999998
support vector 0.001046454
polynomial kernel 0.001018679
vector machine 0.001014039
space restructuring 9.76149E-4
vector representation 9.676800000000001E-4
vector machines 9.62325E-4
text classi 9.58429E-4
ture space 9.42638E-4
port vector 9.34013E-4
linear mixtures 9.30408E-4
objective function 9.257150000000001E-4
linear ker 9.25277E-4
learning 9.22775E-4
certain kernel 9.213349999999999E-4
linear case 9.12602E-4
features 9.05395E-4
hilbert space 9.0487E-4
space restruc 9.02772E-4
small number 8.981460000000001E-4
natural language 8.97685E-4
experiments category 8.93455E-4
linear mixture 8.91945E-4
information 8.89652E-4
several methods 8.89326E-4
text categorization 8.79673E-4
same way 8.66803E-4
text clustering 8.5435E-4
text cat 8.42539E-4
method 8.39701E-4
language processing 8.358129999999999E-4
time unit 8.33388E-4
model 8.32888E-4
original vectors 8.25724E-4
several experiments 8.21465E-4
new vectors 8.12307E-4
limited number 8.10366E-4
fixed number 8.05011E-4
xed number 8.05011E-4
document vectors 8.00423E-4
large numbers 7.93635E-4
performance 7.87036E-4
time series 7.79022E-4
following strategy 7.77721E-4
restructuring methods 7.75717E-4
original original 7.71612E-4
other machine 7.684219999999999E-4
component analysis 7.656480000000001E-4
semantic indices 7.62643E-4
dual problem 7.376290000000001E-4
previous works 7.26089E-4
input vectors 7.18518E-4
ture vectors 7.17417E-4
binary classi 7.16872E-4
transductive svm 7.14419E-4
many applications 7.08654E-4
demixing matrix 7.06869E-4
