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PKDD
2000
Springer
108views Data Mining» more  PKDD 2000»
14 years 2 days ago
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control
This paper investigates the use of reinforcement learning in electric power system emergency control. The approach consists of using numerical simulations together with on-policy M...
Christophe Druet, Damien Ernst, Louis Wehenkel
IJCNN
2007
IEEE
14 years 2 months ago
Theta Neuron Networks: Robustness to Noise in Embedded Applications
- In this paper, we train a one-layer Theta Neuron Network (TNN) to perform a Braitenberg obstacle avoidance algorithm on a Khepera robot. The Theta neuron model is more biological...
Sam McKennoch, Preethi Sundaradevan, Linda G. Bush...
CLIN
2001
13 years 10 months ago
Applying Monte Carlo Techniques to Language Identification
Two major stages stages in language identification systems can be identified: the language modeling stage, where the distinctive features of languages are determined and stored in...
Arjen Poutsma
CN
2002
127views more  CN 2002»
13 years 8 months ago
Optimal policy for label switched path setup in MPLS networks
An important aspect in designing a multiprotocol label switching (MPLS) network is to determine an initial topology and to adapt it to the traffic load. A topology change in an MP...
Tricha Anjali, Caterina M. Scoglio, Jaudelice Cava...
ASPDAC
2006
ACM
114views Hardware» more  ASPDAC 2006»
14 years 2 months ago
High level equivalence symmetric input identification
Symmetric input identification is an important technique in logic synthesis. Previous approaches deal with this problem by building BDDs and developing algorithms to determine symm...
Ming-Hong Su, Chun-Yao Wang