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» Evaluation of clustering algorithms for gene expression data
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SIGIR
2009
ACM
16 years 23 days ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
148
Voted
VDA
2010
169views Visualization» more  VDA 2010»
15 years 8 months ago
Techniques for precision-based visual analysis of projected data
The analysis of high-dimensional data is an important, yet inherently difficult problem. Projection techniques such as PCA, MDS, and SOM can be used to map high-dimensional data t...
Tobias Schreck, Tatiana von Landesberger, Sebastia...
LCPC
2005
Springer
15 years 11 months ago
Interprocedural Symbolic Range Propagation for Optimizing Compilers
Abstract. We have designed and implemented an interprocedural algorithm to analyze symbolic value ranges that can be assumed by variables at any given point in a program. Our algor...
Hansang Bae, Rudolf Eigenmann
WIDM
2004
ACM
15 years 11 months ago
Ctree: a compact tree for indexing XML data
In this paper, we propose a novel compact tree (Ctree) for XML indexing, which provides not only concise path summaries at the group level but also detailed child-parent links at ...
Qinghua Zou, Shaorong Liu, Wesley W. Chu
CORR
2006
Springer
127views Education» more  CORR 2006»
15 years 6 months ago
Semi-Supervised Learning -- A Statistical Physics Approach
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
Gad Getz, Noam Shental, Eytan Domany