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» Two Algorithms for Inducing Causal Models from Data
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JAIR
2007
87views more  JAIR 2007»
14 years 9 months ago
Supporting Temporal Reasoning by Mapping Calendar Expressions to Minimal Periodic Sets
In the recent years several research efforts have focused on the concept of time granularity and its applications. A first stream of research investigated the mathematical model...
Claudio Bettini, Sergio Mascetti, Xiaoyang Sean Wa...
BMCBI
2008
129views more  BMCBI 2008»
14 years 9 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
ML
2010
ACM
135views Machine Learning» more  ML 2010»
14 years 4 months ago
Multi-domain learning by confidence-weighted parameter combination
State-of-the-art statistical NLP systems for a variety of tasks learn from labeled training data that is often domain specific. However, there may be multiple domains or sources o...
Mark Dredze, Alex Kulesza, Koby Crammer
AVSS
2006
IEEE
15 years 3 months ago
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition
In this paper we address the spatial activity recognition problem with an algorithm based on Smith-Waterman (SW) local alignment. The proposed SW approach utilises dynamic program...
Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu
VIS
2004
IEEE
143views Visualization» more  VIS 2004»
15 years 11 months ago
Rough Interface Reconstruction Using the Level Set Method
We present a new level set method for reconstructing interfaces from point aggregations. Although level-set-based methods are advantageous because they can handle complicated topo...
David Thompson, Raghu Machiraju, Yootai Kim