T87-1014 useful network is one that does an identity mapping ( Figure 4 ) . The network has
D15-1002 model has to learn " only " an identity mapping . This is not trivial , though
T87-1014 means one 's mood is devated ? Our identity mapping networks can be put to good use
W10-2501 id is the suitable ( partial ) identity mapping . It follows that s ∈ /
P06-1122 were : • standard : the identity mapping ; • max-pref : a prefix
N04-1008 to assign high probabilities to identity mappings ( and therefore be better distributed
W04-3219 languages are identical , we added an identity mapping for each source word si : an
P15-1006 are able to recover many simple identity mappings without using lexical similarity
P11-1002 linguistic knowledge . We use identity mappings for numeric values ( for ex -
P00-1018 to assume that negation is an identity mapping . Both potential changes preserve
N10-1135 to the original ones than the identity mapping . For example , on our data ,
P06-2036 KARIZE ( 7r ) initialize with identity mapping h ← hmin ← hmax ←
W00-0405 networks of related lexical items ( identity mappings , synonyms , hypernyms , etc.
W08-0703 form given underlying encourages identity mapping , / x / → -LSB- x -RSB-
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