146 search results - page 17 / 30 » Online Gradient Descent Learning Algorithms |
ESANN
2006
13 years 8 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...
CIARP
2006
Springer
13 years 9 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
SIGMOD
2012
ACM
11 years 9 months ago
2012
ACM
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...
ML
2002
ACM
13 years 7 months ago
2002
ACM
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...