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TSMC
2008
140views more  TSMC 2008»
13 years 11 months ago
Adaptive Feedback Control by Constrained Approximate Dynamic Programming
A constrained approximate dynamic programming (ADP) approach is presented for designing adaptive neural network (NN) controllers with closed-loop stability and performance guarante...
S. Ferrari, J. E. Steck, R. Chandramohan
TSMC
2008
89views more  TSMC 2008»
13 years 11 months ago
A Probabilistic Wavelet System for Stochastic and Incomplete Data-Based Modeling
A probabilistic wavelet system (PWS) is proposed to model the unknown dynamic system with stochastic and incomplete data. When compared with the traditional wavelet system, the PWS...
Zhi Liu, Han-Xiong Li, Yun Zhang
TSMC
2008
132views more  TSMC 2008»
13 years 11 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
TSMC
2008
172views more  TSMC 2008»
13 years 11 months ago
AdaBoost-Based Algorithm for Network Intrusion Detection
Abstract--Network intrusion detection aims at distinguishing the attacks on the Internet from normal use of the Internet. It is an indispensable part of the information security sy...
Weiming Hu, Wei Hu, Stephen J. Maybank
TSMC
2008
162views more  TSMC 2008»
13 years 11 months ago
Real-Time Motion Segmentation of Sparse Feature Points at Any Speed
Abstract--We present a real-time incremental approach to motion segmentation operating on sparse feature points. In contrast to previous work, the algorithm allows for a variable n...
Shrinivas J. Pundlik, Stanley T. Birchfield
TSMC
2008
100views more  TSMC 2008»
13 years 11 months ago
Instruction-Matrix-Based Genetic Programming
In genetic programming (GP), evolving tree nodes separately would reduce the huge solution space. However, tree nodes are highly interdependent with respect to their fitness. In th...
Gang Li, Jin Feng Wang, Kin-Hong Lee, Kwong-Sak Le...
TSMC
2008
162views more  TSMC 2008»
13 years 11 months ago
Codevelopmental Learning Between Human and Humanoid Robot Using a Dynamic Neural-Network Model
The paper examines characteristics of interactive learning between human tutors and a robot having a dynamic neural network model which is inspired by human parietal cortex functio...
Jun Tani, Ryunosuke Nishimoto, Jun Namikawa, Masat...
TSMC
2008
128views more  TSMC 2008»
13 years 11 months ago
Adaptive Sensor Placement and Boundary Estimation for Monitoring Mass Objects
Sensor networks are widely used in monitoring and tracking a large number of objects. Without prior knowledge on the dynamics of object distribution, their density estimation could...
Zhen Guo, MengChu Zhou, Guofei Jiang
TSMC
2008
138views more  TSMC 2008»
13 years 11 months ago
Fast Diagnosis With Sensors of Uncertain Quality
This correspondence presents an approach to the detection and isolation of component failures in large-scale systems. In the case of sensors that report at rates of 1 Hz or less, t...
Ozgur Erdinc, Craig Brideau, Peter Willett, Thiaga...
TSMC
2008
120views more  TSMC 2008»
13 years 11 months ago
A Study on Feature Analysis for Musical Instrument Classification
J. D. Deng, Christian Simmermacher, Stephen Cranef...