595 search results - page 2 / 119 » Learning Patterns in Noisy Data: The AQ Approach |
SDM
2007
SIAM
13 years 7 months ago
2007
SIAM
We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
GECCO
2004
Springer
13 years 11 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
GRC
2008
IEEE
13 years 6 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
INCDM
2010
Springer
13 years 7 months ago
2010
Springer
This paper describes an approach to temporal pattern mining
using the concept of user de ned temporal prototypes to de ne the
nature of the trends of interests. The temporal patt...
ALT
2007
Springer
14 years 2 months ago
2007
Springer
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...