1895 search results - page 180 / 379 » Function learning from interpolation |
ECCV
2000
Springer
16 years 2 days ago
2000
Springer
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
ATAL
2006
Springer
15 years 1 months ago
2006
Springer
We contribute Policy Reuse as a technique to improve a reinforcement learning agent with guidance from past learned similar policies. Our method relies on using the past policies ...
113
Voted
AAAI
2007
15 years 16 days ago
2007
Multi-label learning deals with ambiguous examples each may belong to several concept classes simultaneously. In this learning framework, the inherent ambiguity of each example is...
90
Voted
AIIDE
2006
14 years 11 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
CORR
2000
Springer
14 years 10 months ago
2000
Springer
We describe a framework and equations used to model and predict the behavior of multi-agent systems (MASs) with learning agents. A difference equation is used for calculating the ...