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DAGM
2006
Springer
15 years 8 months ago
Efficient Algorithms for Similarity Measures over Sequential Data: A Look Beyond Kernels
Kernel functions as similarity measures for sequential data have been extensively studied in previous research. This contribution addresses the efficient computation of distance fu...
Konrad Rieck, Pavel Laskov, Klaus-Robert Müll...
ICMLA
2007
15 years 6 months ago
Control of a re-entrant line manufacturing model with a reinforcement learning approach
This paper presents the application of a reinforcement learning (RL) approach for the near-optimal control of a re-entrant line manufacturing (RLM) model. The RL approach utilizes...
José A. Ramírez-Hernández, Em...
155
Voted
TSMC
2008
100views more  TSMC 2008»
15 years 4 months ago
Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays
Abstract--In this paper, a synchronization problem is investigated for an array of coupled complex discrete-time networks with the simultaneous presence of both the discrete and di...
Yurong Liu, Zidong Wang, Jinling Liang, Xiaohui Li...
RAS
2000
136views more  RAS 2000»
15 years 4 months ago
A comparative study of soft-computing methodologies in identification of robotic manipulators
This paper investigates the identification of nonlinear systems by utilizing soft-computing approaches. As the identification methods, Feedforward Neural Network architecture (FNN...
Mehmet Önder Efe, Okyay Kaynak
136
Voted
ATAL
2009
Springer
15 years 9 months ago
Effective bidding and deal identification for negotiations in highly nonlinear scenarios
Most real-world negotiation scenarios involve multiple, interdependent issues. These scenarios are specially challenging because the agents' utility functions are nonlinear, ...
Ivan Marsá-Maestre, Miguel A. López-...