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» Computing LTS Regression for Large Data Sets
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2005
ACM
14 years 2 months ago
Bridging the Macro and Micro: A Computing Intensive Earthquake Study Using Discovery Net
We present the development and use of a novel distributed geohazard modeling environment for the analysis and interpretation of large scale earthquake data sets. Our work demonstr...
Yike Guo, Jian Guo Liu, Moustafa Ghanem, Kyran Mis...
ICAIL
2005
ACM
14 years 2 months ago
Effective Document Clustering for Large Heterogeneous Law Firm Collections
Computational resources for research in legal environments have historically implied remote access to large databases of legal documents such as case law, statutes, law reviews an...
Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, Georg...
BMCBI
2006
142views more  BMCBI 2006»
13 years 9 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
MICRO
1999
IEEE
109views Hardware» more  MICRO 1999»
14 years 1 months ago
Compiler-Directed Dynamic Computation Reuse: Rationale and Initial Results
Recent studies on value locality reveal that many instructions are frequently executed with a small variety of inputs. This paper proposes an approach that integrates architecture...
Daniel A. Connors, Wen-mei W. Hwu
SENSYS
2004
ACM
14 years 2 months ago
An analysis of a large scale habitat monitoring application
Habitat and environmental monitoring is a driving application for wireless sensor networks. We present an analysis of data from a second generation sensor networks deployed during...
Robert Szewczyk, Alan M. Mainwaring, Joseph Polast...