1364 search results - page 77 / 273 » Sampling Methods for Unsupervised Learning |
136
Voted
NIPS
2007
15 years 4 months ago
2007
Learning in real-world domains often requires to deal with continuous state and action spaces. Although many solutions have been proposed to apply Reinforcement Learning algorithm...
107
click to vote
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...
125
Voted
ICANN
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Many applications of machine learning involve sparse highdimensional data, where the number of input features is (much) larger than the number of data samples, d n. Predi...
132
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
118
Voted
AIME
2007
Springer
15 years 8 months ago
2007
Springer
The development of intelligent healthcare support systems always requires a formalization of medical knowledge. Domain ontologies are especially suitable for this purpose but their...