Sciweavers

744 search results - page 63 / 149
» Information-theoretic metric learning
Sort
View
IWANN
1999
Springer
15 years 2 months ago
The Capacity and Attractor Basins of Associative Memory Models
The performance characteristics of five variants of the Hopfield network are examined. Two performance metrics are used: memory capacity, and a measure of the size of basins of att...
Neil Davey, S. P. Hunt
AI
1998
Springer
15 years 2 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou
IROS
2007
IEEE
123views Robotics» more  IROS 2007»
15 years 4 months ago
Learning humanoid reaching tasks in dynamic environments
— A central challenging problem in humanoid robotics is to plan and execute dynamic tasks in dynamic environments. Given that the environment is known, sampling-based online moti...
Xiaoxi Jiang, Marcelo Kallmann
DAGM
2011
Springer
13 years 9 months ago
Relaxed Exponential Kernels for Unsupervised Learning
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...
Karim T. Abou-Moustafa, Mohak Shah, Fernando De la...
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
15 years 3 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard