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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 9 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
ISSTA
2010
ACM
15 years 6 months ago
Causal inference for statistical fault localization
This paper investigates the application of causal inference methodology for observational studies to software fault localization based on test outcomes and profiles. This methodo...
George K. Baah, Andy Podgurski, Mary Jean Harrold
CVPR
2010
IEEE
16 years 4 days ago
Personalization of Image Enhancement
We address the problem of incorporating user preference in automatic image enhancement. Unlike generic tools for automatically enhancing images, we seek to develop methods that ca...
Sing Bing Kang, Ashish Kapoor, Dani Lischinski
ATAL
2008
Springer
15 years 6 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
171
Voted
WWW
2006
ACM
16 years 5 months ago
Semantic link based top-K join queries in P2P networks
An important issue arising from Peer-to-Peer applications is how to accurately and efficiently retrieve a set of K best matching data objects from different sources while minimizi...
Jie Liu, Liang Feng, Chao He