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120
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SYNTHESE
2008
112views more  SYNTHESE 2008»
15 years 2 months ago
A sufficient condition for pooling data
We consider the problems arising from using sequences of experiments to discover the causal structure among a set of variables, none of whom are known ahead of time to be an "...
Frederick Eberhardt
101
Voted
IJRR
2010
114views more  IJRR 2010»
15 years 1 months ago
Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration
Abstract The problem of generating uniform deterministic samples over the rotation group, SO(3), is fundamental to many fields, such as computational structural biology, robotics,...
Anna Yershova, Swati Jain, Steven M. LaValle, Juli...
139
Voted
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
13 years 5 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
SIGCOMM
2010
ACM
15 years 2 months ago
An analysis of social network-based Sybil defenses
Recently, there has been much excitement in the research community over using social networks to mitigate multiple identity, or Sybil, attacks. A number of schemes have been propo...
Bimal Viswanath, Ansley Post, P. Krishna Gummadi, ...
162
Voted
CORR
2011
Springer
219views Education» more  CORR 2011»
14 years 9 months ago
Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
Kian Hsiang Low, John M. Dolan, Pradeep K. Khosla