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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 9 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
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
14 years 9 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
HPCA
2001
IEEE
14 years 9 months ago
Speculative Data-Driven Multithreading
Mispredicted branches and loads that miss in the cache cause the majority of retirement stalls experienced by sequential processors; we call these critical instructions. Despite t...
Amir Roth, Gurindar S. Sohi
RECOMB
2007
Springer
14 years 9 months ago
Improving Inversion Median Computation Using Commuting Reversals and Cycle Information
In the past decade, genome rearrangements have attracted increasing attention from both biologists and computer scientists as a new type of data for phylogenetic analysis. Methods ...
William Arndt, Jijun Tang
RECOMB
2002
Springer
14 years 9 months ago
A new approach to analyzing gene expression time series data
We present algorithms for time-series gene expression analysis that permit the principled estimation of unobserved timepoints, clustering, and dataset alignment. Each expression p...
Ziv Bar-Joseph, Georg Gerber, David K. Gifford, To...