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146
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ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 1 months ago
A Sparsification Approach for Temporal Graphical Model Decomposition
Temporal causal modeling can be used to recover the causal structure among a group of relevant time series variables. Several methods have been developed to explicitly construct te...
Ning Ruan, Ruoming Jin, Victor E. Lee, Kun Huang
163
Voted
CDC
2009
IEEE
379views Control Systems» more  CDC 2009»
15 years 7 months ago
Receding horizon cost optimization for overly constrained nonlinear plants
— A receding horizon control algorithm, originally proposed for tracking best-possible steady-states in the presence of overly stringent state and/or input constraints, is analyz...
David Angeli, Rishi Amrit, James B. Rawlings
133
Voted
AUTOMATICA
2005
136views more  AUTOMATICA 2005»
15 years 3 months ago
Conjugate Lyapunov functions for saturated linear systems
Based on a recent duality theory for linear differential inclusions (LDIs), the condition for stability of an LDI in terms of one Lyapunov function can be easily derived from that...
Tingshu Hu, Rafal Goebel, Andrew R. Teel, Zongli L...
130
Voted
GECCO
2004
Springer
259views Optimization» more  GECCO 2004»
15 years 9 months ago
Evaluation of Different Fitness Functions for the Evolutionary Testing of an Autonomous Parking System
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...
Joachim Wegener, Oliver Bühler
ICML
2005
IEEE
16 years 4 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore