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ISBI
2008
IEEE
16 years 5 months ago
Quantified brain asymmetry for age estimation of normal and AD/MCI subjects
We propose a quantified asymmetry based method for age estimation. Our method uses machine learning to discover automatically the most discriminative asymmetry feature set from di...
Leonid Teverovskiy, James T. Becker, Oscar L. Lope...
WWW
2008
ACM
16 years 5 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ASPLOS
2009
ACM
16 years 5 months ago
RapidMRC: approximating L2 miss rate curves on commodity systems for online optimizations
Miss rate curves (MRCs) are useful in a number of contexts. In our research, online L2 cache MRCs enable us to dynamically identify optimal cache sizes when cache-partitioning a s...
David K. Tam, Reza Azimi, Livio Soares, Michael St...
KDD
2009
ACM
245views Data Mining» more  KDD 2009»
16 years 5 months ago
Mining rich session context to improve web search
User browsing information, particularly their non-search related activity, reveals important contextual information on the preferences and the intent of web users. In this paper, ...
Guangyu Zhu, Gilad Mishne
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 5 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
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