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NIPS
1996
15 years 7 months ago
Adaptively Growing Hierarchical Mixtures of Experts
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Jürgen Fritsch, Michael Finke, Alex Waibel
DAGSTUHL
2009
15 years 7 months ago
Policy-Based Architectural Adaptation Management: Robotics Domain Case Studies
Robotics is a challenging domain that exhibits a clear need for self-adaptive capabilities, as self-adaptation offers the potential for robots to account for their unstable and unp...
John C. Georgas, Richard N. Taylor
JNW
2008
103views more  JNW 2008»
15 years 6 months ago
Mobility Metrics Evaluation for Self-Adaptive Protocols
Cross-layer mechanism, for which a protocol locating at a given layer uses information issued from other layers, may enhance the mobile networks performance. Some of those mechanis...
Cholatip Yawut, Béatrice Paillassa, Riadh D...
CORR
2011
Springer
213views Education» more  CORR 2011»
15 years 1 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
15 years 1 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor