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» Estimating Probabilities in Recommendation Systems
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TWC
2008
156views more  TWC 2008»
13 years 7 months ago
Low-Complexity Map Channel Estimation for Mobile MIMO-OFDM Systems
Abstract-- This paper presents a reduced-complexity maximum a posteriori probability (MAP) channel estimator with iterative data detection for orthogonal frequency division multipl...
Jie Gao, Huaping Liu
JMLR
2012
11 years 10 months ago
Bounding the Probability of Error for High Precision Optical Character Recognition
We consider a model for which it is important, early in processing, to estimate some variables with high precision, but perhaps at relatively low recall. If some variables can be ...
Gary B. Huang, Andrew Kae, Carl Doersch, Erik G. L...
BMCBI
2010
80views more  BMCBI 2010»
13 years 8 months ago
Power and sample size estimation in microarray studies
Background: Before conducting a microarray experiment, one important issue that needs to be determined is the number of arrays required in order to have adequate power to identify...
Wei-Jiun Lin, Huey-miin Hsueh, James J. Chen
ECIR
2010
Springer
13 years 9 months ago
Tripartite Hidden Topic Models for Personalised Tag Suggestion
Abstract. Social tagging systems provide methods for users to categorise resources using their own choice of keywords (or "tags") without being bound to a restrictive set...
Morgan Harvey, Mark Baillie, Ian Ruthven, Mark Jam...
WEBI
2009
Springer
14 years 2 months ago
Specialized Review Selection for Feature Rating Estimation
—On participatory Websites, users provide opinions about products, with both overall ratings and textual reviews. In this paper, we propose an approach to accurately estimate fea...
Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, ...