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» Identifying Linear Causal Effects
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IPPS
2007
IEEE
14 years 1 months ago
Decomposing Partial Order Execution Graphs to Improve Message Race Detection
In message-passing parallel applications, messages are not delivered in a strict order. In most applications, the computation results and the set of messages produced during the e...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch
TCS
2008
13 years 7 months ago
Computational self-assembly
The object of this paper is to appreciate the computational limits inherent in the combinatorics of an applied concurrent (aka agent-based) language . That language is primarily m...
Pierre-Louis Curien, Vincent Danos, Jean Krivine, ...
KDD
1994
ACM
117views Data Mining» more  KDD 1994»
13 years 11 months ago
Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges
We applied TETRAD II, a causal discovery program developed in Carnegie Mellon University's Department of Philosophy, to a database containing information on 204 U.S. colleges...
Marek J. Druzdze, Clark Glymour
ICCV
2009
IEEE
13 years 5 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
IMC
2005
ACM
14 years 1 months ago
Improving Sketch Reconstruction Accuracy Using Linear Least Squares Method
Sketch is a sublinear space data structure that allows one to approximately reconstruct the value associated with any given key in an input data stream. It is the basis for answer...
Gene Moo Lee, Huiya Liu, Young Yoon, Yin Zhang