875 search results - page 65 / 175 » Linear Manifold Clustering |
93
Voted
AAMAS
2007
Springer
15 years 25 days ago
2007
Springer
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
108
Voted
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
106
Voted
ESANN
1998
15 years 2 months ago
1998
Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
105
Voted
MVA
2010
14 years 11 months ago
2010
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
101
Voted
WG
2007
Springer
15 years 6 months ago
2007
Springer
Modularity is a recently introduced quality measure for graph clusterings. It has immediately received considerable attention in several disciplines, and in particular in the compl...