2440 search results - page 224 / 488 » Abstraction Learning |
140
Voted
ALT
2008
Springer
15 years 9 months ago
2008
Springer
Abstract For many centuries scientists have wondered how the human brain represents thoughts in terms of the underlying biology of neural activity. Philosophers, linguists, cogniti...
106
Voted
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
103
Voted
GECCO
2003
Springer
15 years 6 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
81
Voted
CIVR
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. This paper presents a novel technique for learning the underlying structure that links visual observations with semantics. The technique, inspired by a text-retrieval tec...
101
Voted
CIBB
2008
15 years 2 months ago
2008
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...