3250 search results - page 86 / 650 » Parameterized Learning Complexity |
71
Voted
DAGM
2007
Springer
15 years 6 months ago
2007
Springer
We propose an unsupervised “local learning” algorithm for learning a metric in the input space. Geometrically, for a given query point, the algorithm finds the minimum volume ...
104
click to vote
IJCAI
2003
15 years 2 months ago
2003
We investigate the problem of non-covariant behavior of policy gradient reinforcement learning algorithms. The policy gradient approach is amenable to analysis by information geom...
105
Voted
IJCAI
2007
15 years 2 months ago
2007
Deictic representation is a representational paradigm, based on selective attention and pointers, that allows an agent to learn and reason about rich complex environments. In this...
94
Voted
ISBI
2008
IEEE
15 years 7 months ago
2008
IEEE
A stratification and manifold learning approach for analyzing High Angular Resolution Diffusion Imaging (HARDI) data is introduced in this paper. HARDI data provides highdimensio...
104
Voted
IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
Abstract— Meta-learning helps us find solutions to computational intelligence (CI) challenges in automated way. Metalearning algorithm presented in this paper is universal and m...