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» Learning parallel portfolios of algorithms
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ICML
2007
IEEE
15 years 10 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
ICGI
2010
Springer
14 years 10 months ago
Grammatical Inference Algorithms in MATLAB
Although MATLAB1 has become one of the mainstream languages for the machine learning community, there is still skepticism among the Grammatical Inference (GI) community regarding t...
Hasan Ibne Akram, Colin de la Higuera, Huang Xiao,...
SKG
2006
IEEE
15 years 3 months ago
Ontology Enabled Learning Resource Modeling and Management
In this paper, we proposed the learning resource ontology(LRO) models to formally describe learning content and learning context, respectively. In addition to utilizing the models...
Zongkai Yang, Tao Huang, Qingtang Liu, Xia Li, Bei...
ICPP
1997
IEEE
15 years 1 months ago
Automatic Parallelization and Scheduling of Programs on Multiprocessors using CASCH
r The lack of a versatile software tool for parallel program development has been one of the major obstacles for exploiting the potential of high-performance architectures. In this...
Ishfaq Ahmad, Yu-Kwong Kwok, Min-You Wu, Wei Shu
64
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ACL
2001
14 years 11 months ago
Extracting Paraphrases from a Parallel Corpus
While paraphrasing is critical both for interpretation and generation of natural language, current systems use manual or semi-automatic methods to collect paraphrases. We present ...
Regina Barzilay, Kathleen McKeown