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157
Voted
ESOP
2011
Springer
14 years 6 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
110
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CIKM
2009
Springer
15 years 9 months ago
2009
Springer
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
142
Voted
CIBCB
2006
IEEE
15 years 8 months ago
2006
IEEE
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
141
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FLAIRS
2007
15 years 4 months ago
2007
This paper describes a hybrid model that combines machine learning with linguistic heuristics for integrating unknown word identification with Chinese word segmentation. The model...
134
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SIGIR
1999
ACM
15 years 6 months ago
1999
ACM
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...