908 search results - page 82 / 182 » Stochastic Finite Learning |
111
Voted
NIPS
1990
15 years 3 months ago
1990
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
150
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
145
Voted
ICANN
2010
Springer
15 years 3 months ago
2010
Springer
It has been one of the great challenges of neuro-symbolic integration to represent recursive logic programs using neural networks of finite size. In this paper, we propose to imple...
99
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more ...
126
Voted
FOCI
2007
IEEE
15 years 9 months ago
2007
IEEE
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...