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» Computing LTS Regression for Large Data Sets
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TASE
2010
IEEE
13 years 2 months ago
Robust Calibration for Localization in Clustered Wireless Sensor Networks
This paper presents a robust calibration procedure for clustered wireless sensor networks. Accurate calibration of between-node distances is one crucial step in localizing sensor n...
Jung Jin Cho, Yu Ding, Yong Chen, Jiong Tang
ICDM
2010
IEEE
264views Data Mining» more  ICDM 2010»
13 years 5 months ago
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
Kamalika Das, Ashok N. Srivastava
PDC
2004
ACM
14 years 1 months ago
From small scale to large scale user participation: a case study of participatory design in e-government systems
Most experiments with participative design are with small scale, stand alone and not very strategic applications of ICT in organizations. However, modern ICT applications are incr...
Anne-Marie Oostveen, Peter Van den Besselaar
TMI
2010
160views more  TMI 2010»
13 years 6 months ago
Computer-Aided Detection of Polyps in CT Colonography Using Logistic Regression
—We present a computer-aided detection (CAD) system for computed tomography colonography that orders the polyps according to clinical relevance. The CAD system consists of two st...
Vincent Frans van Ravesteijn, Cees van Wijk, Frans...
WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...