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» Kernel Regression Based Machine Translation
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86
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NAACL
2007
15 years 2 months ago
Kernel Regression Based Machine Translation
We present a novel machine translation framework based on kernel regression techniques. In our model, the translation task is viewed as a string-to-string mapping, for which a reg...
Zhuoran Wang, John Shawe-Taylor, Sándor Sze...
150
Voted
ICTAI
2010
IEEE
14 years 11 months ago
Support Vector Methods for Sentence Level Machine Translation Evaluation
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...
135
Voted
DSMML
2004
Springer
15 years 6 months ago
Understanding Gaussian Process Regression Using the Equivalent Kernel
The equivalent kernel [1] is a way of understanding how Gaussian process regression works for large sample sizes based on a continuum limit. In this paper we show how to approximat...
Peter Sollich, Christopher K. I. Williams
89
Voted
ECAI
2004
Springer
15 years 6 months ago
Kernel Machine Based Feature Extraction Algorithms for Regression Problems
Csaba Szepesvári, András Kocsor, Kor...
103
Voted
ICML
2005
IEEE
16 years 1 months ago
A general regression technique for learning transductions
The problem of learning a transduction, that is a string-to-string mapping, is a common problem arising in natural language processing and computational biology. Previous methods ...
Corinna Cortes, Mehryar Mohri, Jason Weston