3050 search results - page 200 / 610 » On-line Algorithms in Machine Learning |
116
click to vote
ECML
2006
Springer
15 years 7 months ago
2006
Springer
Research in the rule induction algorithm field produced many algorithms in the last 30 years. However, these algorithms are usually obtained from a few basic rule induction algorit...
125
click to vote
ICML
2004
IEEE
16 years 5 months ago
2004
IEEE
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
147
click to vote
CEC
2009
IEEE
15 years 8 months ago
2009
IEEE
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
167
click to vote
ML
2007
ACM
15 years 3 months ago
2007
ACM
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
132
click to vote
ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...