3694 search results - page 82 / 739 » Stochastic complexity in learning |
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
On large datasets, the popular training approach has been stochastic gradient descent (SGD). This paper proposes a modification of SGD, called averaged SGD with feedback (ASF), tha...
EUROCOLT
1997
Springer
13 years 11 months ago
1997
Springer
The approach of ordinal mind change complexity, introduced by Freivalds and Smith, uses (notations for) constructive ordinals to bound the number of mind changes made by a learnin...
AAAI
2007
13 years 10 months ago
2007
Artificial intelligence has begun to play a critical role in basic science research. In high energy physics, AI methods can aid precision measurements that elucidate the underlyi...
JCB
2006
13 years 7 months ago
2006
A stochastic genetic toggle switch model that consists of two identical, mutually repressive genes is built using the Gillespie algorithm with time delays as an example of a simpl...
INFORMS
1998
13 years 7 months ago
1998
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...