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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
14 years 6 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
DATE
2010
IEEE
154views Hardware» more  DATE 2010»
14 years 2 months ago
ERSA: Error Resilient System Architecture for probabilistic applications
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. J...
BMCBI
2006
183views more  BMCBI 2006»
13 years 9 months ago
Mining gene expression data by interpreting principal components
Background: There are many methods for analyzing microarray data that group together genes having similar patterns of expression over all conditions tested. However, in many insta...
Joseph C. Roden, Brandon W. King, Diane Trout, Ali...
IEEEVAST
2010
13 years 3 months ago
Anomaly detection in GPS data based on visual analytics
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...
Zicheng Liao, Yizhou Yu, Baoquan Chen
ER
2004
Springer
79views Database» more  ER 2004»
14 years 2 months ago
Multi-phase Process Mining: Building Instance Graphs
Abstract. Deploying process-driven information systems is a time-consuming and error-prone task. Process mining attempts to improve this by automatically generating a process model...
Boudewijn F. van Dongen, Wil M. P. van der Aalst