1746 search results - page 68 / 350 » Hierarchical Unsupervised Learning |
112
Voted
IDEAL
2005
Springer
15 years 8 months ago
2005
Springer
Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
116
Voted
AGENTS
2000
Springer
15 years 7 months ago
2000
Springer
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
143
Voted
EELC
2006
15 years 6 months ago
2006
In this article, we study the emergence of associations between words and concepts using the self-organizing map. In particular, we explore the meaning negotiations among communica...
133
Voted
NCI
2004
15 years 4 months ago
2004
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
109
Voted
ICANN
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...