7378 search results - page 1138 / 1476 » Introduction to Machine Learning |
291
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SIGMOD
2007
ACM
16 years 6 months ago
2007
ACM
Map-Reduce is a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters of commodity machines. Through ...
189
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ISPASS
2009
IEEE
16 years 1 months ago
2009
IEEE
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
182
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NOSSDAV
2009
Springer
16 years 1 months ago
2009
Springer
A critical problem in implementing interactive perception applications is the considerable computational cost of current computer vision and machine learning algorithms, which typ...
197
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BIBM
2008
IEEE
16 years 1 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
179
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ICPP
2008
IEEE
16 years 1 months ago
2008
IEEE
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...