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» Composing Adaptive Learning Systems
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FLAIRS
2004
13 years 11 months ago
Developing Task Specific Sensing Strategies Using Reinforcement Learning
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
Srividhya Rajendran, Manfred Huber
IWCLS
1999
Springer
14 years 2 months ago
An Adaptive Agent Based Economic Model
In this paper we describe a simple model of adaptive agents of different types, represented by Learning Classifier Systems (LCS), which make investment decisions about a risk fre...
Sonia Schulenburg, Peter Ross
ICTAI
2003
IEEE
14 years 3 months ago
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen
ECML
2006
Springer
14 years 1 months ago
Learning Process Models with Missing Data
Abstract. In this paper, we review the task of inductive process modeling, which uses domain knowledge to compose explanatory models of continuous dynamic systems. Next we discuss ...
Will Bridewell, Pat Langley, Steve Racunas, Stuart...
WSC
2007
14 years 13 days ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper