Sciweavers

2566 search results - page 105 / 514
» Relating reinforcement learning performance to classificatio...
Sort
View
ECAL
2005
Springer
15 years 6 months ago
Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning
This paper introduces a novel study on the sense of valency as a vital process for achieving adaptation in agents through evolution and developmental learning. Unlike previous stud...
Theodoros Damoulas, Ignasi Cos-Aguilera, Gillian M...
TJS
2010
182views more  TJS 2010»
15 years 2 months ago
A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Yasser Yasami, Saadat Pour Mozaffari
CSREAEEE
2008
128views Business» more  CSREAEEE 2008»
15 years 5 months ago
Public relations System for Mobile Learning
- In this paper, we proposed an automatic pushing system, whereby the users of mobile devices set their preferences on the Internet and receive `pushed' contents, which are a ...
Chul-Woo Kim, Misook Lim, Young-Min Chin
CEC
2003
IEEE
15 years 9 months ago
Real-time adaptation technique to real robots: an experiment with a humanoid robot
We introduce a technique that allows a real robot to execute real-time learning, in which GP and RL are integrated. In our former research, we showed the result of an experiment wi...
Shotaro Kamio, Hitoshi Iba
IJON
2006
134views more  IJON 2006»
15 years 4 months ago
A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
Mu-Chun Su, Chien-Hsing Chou, Eugene Lai, Jonathan...