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JMLR
2008
114views more  JMLR 2008»
15 years 6 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
IR
2007
15 years 6 months ago
An empirical study of tokenization strategies for biomedical information retrieval
Due to the great variation of biological names in biomedical text, appropriate tokenization is an important preprocessing step for biomedical information retrieval. Despite its im...
Jing Jiang, ChengXiang Zhai
IR
2010
15 years 5 months ago
LETOR: A benchmark collection for research on learning to rank for information retrieval
LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by Microsoft Research Asia. In this paper, we describe the details of the L...
Tao Qin, Tie-Yan Liu, Jun Xu, Hang Li
IR
2010
15 years 5 months ago
Adapting boosting for information retrieval measures
Abstract We present a new ranking algorithm that combines the strengths of two previous methods: boosted tree classification, and LambdaRank, which has been shown to be empiricall...
Qiang Wu, Christopher J. C. Burges, Krysta Marie S...
MODELS
2010
Springer
15 years 4 months ago
A Dynamic-Priority Based Approach to Fixing Inconsistent Feature Models
In feature models’ construction, one basic task is to ensure the consistency of feature models, which often involves detecting and fixing of inconsistencies in feature models. S...
Bo Wang, Yingfei Xiong, Zhenjiang Hu, Haiyan Zhao,...