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» Combining Simple Models to Approximate Complex Dynamics
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CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 7 months ago
Contact processes and moment closure on adaptive networks
Contact processes describe the transmission of distinct properties of nodes via the links of a network. They provide a simple framework for many phenomena, such as epidemic spreadi...
Anne-Ly Do, Thilo Gross
AAAI
2008
13 years 10 months ago
The Parameterized Complexity of Global Constraints
We argue that parameterized complexity is a useful tool with which to study global constraints. In particular, we show that many global constraints which are intractable to propag...
Christian Bessiere, Emmanuel Hebrard, Brahim Hnich...
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
14 years 1 months ago
Toward Legless Locomotion Control
— Motivated by an error-recovery locomotion problem, we propose a control technique for a complex mechanical system by decomposing the system dynamics into a collection of simpli...
Ravi Balasubramanian, Alfred A. Rizzi, Matthew T. ...
ICML
2007
IEEE
14 years 8 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
AAAI
2007
13 years 10 months ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...