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» Presenting Data from Experiments in Algorithmics
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NIPS
2001
15 years 9 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
IJON
2006
72views more  IJON 2006»
15 years 7 months ago
Extraction of a source signal whose kurtosis value lies in a specific range
In many applications extraction of source signals of interest from observed signals maybe is a more feasible approach than simultaneous separation of all the source signals, since...
Zhi-Lin Zhang, Zhang Yi
INFOCOM
2012
IEEE
13 years 10 months ago
Robust multi-source network tomography using selective probes
—Knowledge of a network’s topology and internal characteristics such as delay times or losses is crucial to maintain seamless operation of network services. Network tomography ...
Akshay Krishnamurthy, Aarti Singh
ITRE
2005
IEEE
16 years 1 months ago
Structure learning of Bayesian networks using a semantic genetic algorithm-based approach
A Bayesian network model is a popular technique for data mining due to its intuitive interpretation. This paper presents a semantic genetic algorithm (SGA) to learn a complete qual...
Sachin Shetty, Min Song
DAGM
2005
Springer
16 years 1 months ago
Calibration-Free Hand-Eye Calibration: A Structure-from-Motion Approach
The paper presents an extended hand-eye calibration approach that, in contrast to the standard method, does not require a calibration pattern for determining camera position and or...
Jochen Schmidt, Florian Vogt, Heinrich Niemann