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ICML
2005
IEEE
16 years 4 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
IOLTS
2005
IEEE
163views Hardware» more  IOLTS 2005»
15 years 9 months ago
Modeling Soft-Error Susceptibility for IP Blocks
As device geometries continue to shrink, single event upsets are becoming of concern to a wider spectrum of system designers. These “soft errors” can be a nuisance or catastro...
Robert C. Aitken, Betina Hold
134
Voted
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 4 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
127
Voted
CSDA
2008
94views more  CSDA 2008»
15 years 3 months ago
Robust model selection using fast and robust bootstrap
Robust model selection procedures control the undue influence that outliers can have on the selection criteria by using both robust point estimators and a bounded loss function wh...
Matias Salibian-Barrera, Stefan Van Aelst
126
Voted
CGF
1999
125views more  CGF 1999»
15 years 3 months ago
Partitioning and Handling Massive Models for Interactive Collision Detection
We describe an approach for interactive collision detection and proximity computations on massive models composed of millions of geometric primitives. We address issues related to...
Andy Wilson, Eric Larsen, Dinesh Manocha, Ming C. ...