Ce sont les mots les plus souvent utilisés dans ce livre.
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algorithm
analysis
approach
between
bound
case
chapter
choice
class
classification
conditions
consider
constraints
corresponding
data
defined
definition
described
different
dimension
dimensional
distribution
does
dual
error
example
feature
first
following
form
function
gaussian
generalisation
give
given
hence
hyperplane
hypothesis
image
inner
input
kernel
known
learning
linear
log
loss
machines
margin
matrix
maximal
measure
method
new
note
number
objective
optimisation
order
output
parameters
particular
points
positive
primal
probability
problem
product
provides
quantity
regression
remark
representation
result
section
see
sequence
set
since
size
slack
solution
space
support
svm
system
techniques
terms
theorem
theory
training
two
use
used
value
variables
vector
weight
xi