184 search results - page 7 / 37 » Learning Within the BDI Framework: An Empirical Analysis |
TIT
2008
13 years 7 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
IJON
2006
13 years 7 months ago
2006
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
In the multi-view learning paradigm, the input variable is partitioned into two different views X1 and X2 and there is a target variable Y of interest. The underlying assumption i...
SDM
2010
SIAM
13 years 9 months ago
2010
SIAM
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...