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ICPR
2006
IEEE
16 years 8 months ago
Dimensionality Reduction with Adaptive Kernels
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
Shuicheng Yan, Xiaoou Tang
WWW
2009
ACM
16 years 7 months ago
Identifying vertical search intention of query through social tagging propagation
A pressing task during the unification process is to identify a user's vertical search intention based on the user's query. In this paper, we propose a novel method to p...
Ning Liu, Jun Yan, Weiguo Fan, Qiang Yang, Zheng C...
KDD
2006
ACM
136views Data Mining» more  KDD 2006»
16 years 7 months ago
Mining quantitative correlated patterns using an information-theoretic approach
Existing research on mining quantitative databases mainly focuses on mining associations. However, mining associations is too expensive to be practical in many cases. In this pape...
Yiping Ke, James Cheng, Wilfred Ng
KDD
2006
ACM
129views Data Mining» more  KDD 2006»
16 years 7 months ago
Bias and controversy: beyond the statistical deviation
In this paper, we investigate how deviation in evaluation activities may reveal bias on the part of reviewers and controversy on the part of evaluated objects. We focus on a `data...
Hady Wirawan Lauw, Ee-Peng Lim, Ke Wang
RECOMB
2003
Springer
16 years 7 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona