4930 search results - page 105 / 986 » Learning minimal abstractions |
99
Voted
ICWL
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. This paper proposes a structured blended learning for providing elearning strategies adopted by the Open University of Hong Kong (OUHK). The paper identified the factors ...
106
Voted
IROS
2006
IEEE
15 years 6 months ago
2006
IEEE
Abstract— This paper presents a learning system that uses Qlearning with a resource allocating network (RAN) for behavior learning in mobile robotics. The RAN is used as a functi...
136
Voted
NIPS
1992
15 years 1 months ago
1992
Vector Quantization is useful for data compression. Competitive Learning which minimizes reconstruction error is an appropriate algorithm for vector quantization of unlabelled dat...
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
111
Voted
NIPS
2008
15 years 2 months ago
2008
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...