223 search results - page 22 / 45 » On Spectral Learning |
AAAI
2006
14 years 11 months ago
2006
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
SSPR
2004
Springer
15 years 3 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...
79
Voted
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
84
Voted
TIP
2008
14 years 9 months ago
2008
Previous research applying kernel methods such as support vector machines (SVMs) to hyperspectral image classification has achieved performance competitive with the best available ...
122
click to vote
ICMCS
2009
IEEE
14 years 7 months ago
2009
IEEE
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia ...