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UAI
2004
15 years 8 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
JCC
2008
110views more  JCC 2008»
15 years 6 months ago
On the structure of the inverse kinematics map of a fragment of protein backbone
Loop closure in proteins requires computing the values of the inverse kinematics (IK) map for a backbone fragment with 2n 6 torsional degrees of freedom (dofs). It occurs in a va...
R. James Milgram, Guanfeng Liu, Jean-Claude Latomb...
ICMLA
2009
15 years 4 months ago
Structured Prediction with Relative Margin
In structured prediction problems, outputs are not confined to binary labels; they are often complex objects such as sequences, trees, or alignments. Support Vector Machine (SVM) ...
Pannagadatta K. Shivaswamy, Tony Jebara
JMLR
2010
115views more  JMLR 2010»
15 years 1 months ago
Bayesian structure discovery in Bayesian networks with less space
Current exact algorithms for score-based structure discovery in Bayesian networks on n nodes run in time and space within a polynomial factor of 2n . For practical use, the space ...
Pekka Parviainen, Mikko Koivisto
205
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JMLR
2010
149views more  JMLR 2010»
15 years 1 months ago
Fast Committee-Based Structure Learning
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
Ernest Mwebaze, John A. Quinn