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» Adaptive Learning from Evolving Data Streams
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MT
2007
100views more  MT 2007»
15 years 5 days ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
CIKM
1999
Springer
15 years 5 months ago
A Comparison of Alternative Continuous Display Techniques with Heterogeneous Multi-Zone Disks
A number of recent technological trends have made data intensive applications such as continuous media audio and video servers a reality. These servers are expected to play an i...
Shahram Ghandeharizadeh, Seon Ho Kim
116
Voted
ICCV
2011
IEEE
14 years 21 days ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
109
Voted
ICDM
2005
IEEE
217views Data Mining» more  ICDM 2005»
15 years 6 months ago
Improving Automatic Query Classification via Semi-Supervised Learning
Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose web search systems. Such classification becomes critical if th...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
PCI
2001
Springer
15 years 5 months ago
A Knowledge Based Approach on Educational Metadata Use
One of the most rapidly evolving e-services is e-Learning, that is, the creation of advanced educational resources that are accessible on-line and, potentially, offer numerous adva...
Fotis Kokkoras, Demetrios G. Sampson, Ioannis P. V...