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118
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ACL
2012
13 years 3 months ago
2012
Statistical machine translation is often faced with the problem of combining training data from many diverse sources into a single translation model which then has to translate se...
81
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
89
Voted
ICASSP
2009
IEEE
15 years 7 months ago
2009
IEEE
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
124
Voted
ICST
2009
IEEE
15 years 7 months ago
2009
IEEE
The problem of testing from an extended finite state machine (EFSM) can be expressed in terms of finding suitable paths through the EFSM and then deriving test data to follow the ...
DATE
2005
IEEE
15 years 6 months ago
2005
IEEE
Demands for implementing original OSs that can achieve high I/O performance on PC/AT compatible hardware have recently been increasing, but conventional OS debugging environments ...