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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 6 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
SIGMOD
2004
ACM
199views Database» more  SIGMOD 2004»
14 years 6 months ago
Approximate XML Query Answers
The rapid adoption of XML as the standard for data representation and exchange foreshadows a massive increase in the amounts of XML data collected, maintained, and queried over th...
Neoklis Polyzotis, Minos N. Garofalakis, Yannis E....
ICCAD
2006
IEEE
152views Hardware» more  ICCAD 2006»
14 years 2 months ago
Fast and robust quadratic placement combined with an exact linear net model
— This paper presents a robust quadratic placement approach, which offers both high-quality placements and excellent computational efficiency. The additional force which distrib...
Peter Spindler, Frank M. Johannes
ICCV
2007
IEEE
14 years 3 days ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
IJCNN
2006
IEEE
13 years 11 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...