<s>
Parity	B-General_Concept
learning	I-General_Concept
is	O
a	O
problem	O
in	O
machine	O
learning	O
.	O
</s>
<s>
The	O
problem	O
is	O
easy	O
to	O
solve	O
using	O
Gaussian	B-Algorithm
elimination	I-Algorithm
provided	O
that	O
a	O
sufficient	O
number	O
of	O
samples	O
(	O
from	O
a	O
distribution	O
which	O
is	O
not	O
too	O
skewed	O
)	O
are	O
provided	O
to	O
the	O
algorithm	O
.	O
</s>
<s>
In	O
Learning	B-General_Concept
Parity	I-General_Concept
with	I-General_Concept
Noise	I-General_Concept
(	O
LPN	O
)	O
,	O
the	O
samples	O
may	O
contain	O
some	O
error	O
.	O
</s>
<s>
The	O
noisy	O
version	O
of	O
the	O
parity	B-General_Concept
learning	I-General_Concept
problem	O
is	O
conjectured	O
to	O
be	O
hard	O
.	O
</s>
