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EMNLP
2008
15 years 7 months ago
Lattice-based Minimum Error Rate Training for Statistical Machine Translation
Minimum Error Rate Training (MERT) is an effective means to estimate the feature function weights of a linear model such that an automated evaluation criterion for measuring syste...
Wolfgang Macherey, Franz Josef Och, Ignacio Thayer...
CVPR
2011
IEEE
14 years 10 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
IAT
2008
IEEE
16 years 19 days ago
A Personalized Spam Filtering Approach Utilizing Two Separately Trained Filters
By feeding personal e-mails into the training set, personalized content-based spam filters are believed to classify e-mails in higher accuracy. However, filters trained by both sp...
Wei-Lun Teng, Wei-Chung Teng
TACAS
2004
Springer
111views Algorithms» more  TACAS 2004»
15 years 11 months ago
Automatic Creation of Environment Models via Training
Abstract. Model checking suffers not only from the state-space explosion problem, but also from the environment modeling problem: how can one create an accurate enough model of the...
Thomas Ball, Vladimir Levin, Fei Xie
MSE
1999
IEEE
118views Hardware» more  MSE 1999»
15 years 10 months ago
Training IP Creators and Integrators
Intellectual property IP blocks are being created for reuse and marketed as a means of reducing the development time of complex designs. This in turn leads to a reduction in time ...
Donald W. Bouldin, Senthil Natarajan, Benjamin A. ...