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» Causal Discovery from Streaming Features
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ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
8 years 2 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
JMLR
2010
105views more  JMLR 2010»
7 years 11 months ago
When causality matters for prediction
Recent evaluations have indicated that in practice, general methods for prediction which do not account for changes in the conditional distribution of a target variable given feat...
Robert E. Tillman, Peter Spirtes
CORR
2012
Springer
188views Education» more  CORR 2012»
6 years 12 months ago
A Logical Characterization of Constraint-Based Causal Discovery
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
Tom Claassen, Tom Heskes
CIKM
2006
Springer
8 years 6 months ago
Efficient range-constrained similarity search on wavelet synopses over multiple streams
Due to the resource limitation in the data stream environment, it has been reported that answering user queries according to the wavelet synopsis of a stream is an essential abili...
Hao-Ping Hung, Ming-Syan Chen
LOCA
2009
Springer
8 years 8 months ago
Multi Activity Recognition Based on Bodymodel-Derived Primitives
Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...
Andreas Zinnen, Christian Wojek, Bernt Schiele
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