35 search results - page 4 / 7 » A diversity maintaining population-based incremental learnin... |
ML
2008
ACM
13 years 7 months ago
2008
ACM
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
NN
2010
Springer
13 years 5 months ago
2010
Springer
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
We extend a recent Sparse Representation-based Classification (SRC) algorithm for face recognition to work on 2D images directly, aiming to reduce the computational complexity whil...
IRMA
2000
13 years 8 months ago
2000
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
CIS
2004
Springer
14 years 25 days ago
2004
Springer
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...