988 search results - page 16 / 198 » Margin Based Active Learning |
KDD
2009
ACM
14 years 4 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
ESANN
2007
13 years 11 months ago
2007
We propose a network model of spiking neurons, without preimposed topology and driven by STDP (Spike-Time-Dependent Plasticity), a temporal Hebbian unsupervised learning mode, biol...
MICAI
2004
Springer
14 years 3 months ago
2004
Springer
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
JMLR
2006
13 years 9 months ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...
COLT
2005
Springer
14 years 3 months ago
2005
Springer
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...