Tzung-i Tang, Gang Zheng, Yalou Huang, Guangfu Shu, Pengtao Wang
Abstract. This paper studies medical data classification methods, comparing decision tree and system reconstruction analysis as applied to heart disease medical data mining. The data we study is...
Soft Comput (2006) DOI 10.1007/s00500-006-0091-5 FOCUS (2008)
Using SVM to extract acronyms from text
Video search re-ranking via multi-graph propagation (2007)
Jingjing Liu, Yalou Huang, Shipeng Li
This paper 1 is concerned with the problem of multimodal fusion in video search. First, we employ an object-sensitive approach to query analysis to improve the baseline result of text-based video...
Video search re-ranking via multi-graph propagation (2007)
Jingjing Liu, Yalou Huang, Shipeng Li
This paper 1 is concerned with the problem of multimodal fusion in video search. First, we employ an object-sensitive approach to query analysis to improve the baseline result of text-based video...
Searching Documents Based on Relevance and Type (2007)
Jun Xu, Yunbo Cao, Hang Li, Nick Craswell, Yalou Huang
Abstract. This paper extends previous work on document retrieval and document type classification, addressing the problem of ‘typed search’. Specifically, given a query and a designated document...
Adapting ranking SVM to document retrieval (2006)
Yunbo Cao, Jun Xu, Tie-yan Liu, Hang Li, Yalou Huang, Hsiao-wuen Hon
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must consider when...
Adapting ranking SVM to document retrieval (2006)
Yunbo Cao, Jun Xu, Tie-yan Liu, Hang Li, Yalou Huang, Hsiao-wuen Hon
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must consider when...
Cost-sensitive learning of SVM for ranking (2006)
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
Abstract. In this paper, we propose a new method for learning to rank. ‘Ranking SVM ’ is a method for performing the task. It formulizes the problem as that of binary classification on instance...
Cost-sensitive learning of SVM for ranking (2006)
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
Abstract. In this paper, we propose a new method for learning to rank. ‘Ranking SVM ’ is a method for performing the task. It formulizes the problem as that of binary classification on instance...