323 search results - page 29 / 65 » New Algorithms for Learning in Presence of Errors |
ECML
2006
Springer
14 years 10 days ago
2006
Springer
Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
MCS
2009
Springer
14 years 1 months ago
2009
Springer
We have recently introduced an incremental learning algorithm, Learn++ .NSE, for Non-Stationary Environments, where the data distribution changes over time due to concept drift. Le...
NN
2002
Springer
13 years 8 months ago
2002
Springer
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
Recent theoretical results have shown that improved bounds on generalization error of classifiers can be obtained by explicitly taking the observed margin distribution of the trai...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we propose a distributed learning strategy in wireless sensor networks. Taking advantage of recent developments on kernel-based machine learning, we consider a new ...