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IJCNLP
2005
Springer
15 years 3 months ago
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity
Abstract. This paper presents an empirical study on four techniques of language model adaptation, including a maximum a posteriori (MAP) method and three discriminative training mo...
Wei Yuan, Jianfeng Gao, Hisami Suzuki
KBSE
2010
IEEE
14 years 8 months ago
Variability modeling in the real: a perspective from the operating systems domain
Variability models represent the common and variable features of products in a product line. Several variability modeling languages have been proposed in academia and industry; ho...
Thorsten Berger, Steven She, Rafael Lotufo, Andrze...
NIPS
2008
14 years 11 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
IJCNLP
2005
Springer
15 years 3 months ago
Empirical Study of Utilizing Morph-Syntactic Information in SMT
In this paper, we present an empirical study that utilizes morph-syntactical information to improve translation quality. With three kinds of language pairs matched according to mor...
Young-Sook Hwang, Taro Watanabe, Yutaka Sasaki
102
Voted
CVPR
2012
IEEE
12 years 12 months ago
Geodesic flow kernel for unsupervised domain adaptation
In real-world applications of visual recognition, many factors—such as pose, illumination, or image quality—can cause a significant mismatch between the source domain on whic...
Boqing Gong, Yuan Shi, Fei Sha, Kristen Grauman