1419 search results - page 183 / 284 » Approximation Methods for Supervised Learning |
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ICDE
2008
IEEE
14 years 11 months ago
2008
IEEE
In this paper, we present a new technique, called Stream Projected Ouliter deTector (SPOT), to deal with outlier detection problem in high-dimensional data streams. SPOT is unique ...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
Dimensionality reduction is an important pre-processing step for many applications. Linear Discriminant Analysis (LDA) is one of the well known methods for supervised dimensionali...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
ISBI
2009
IEEE
14 years 4 months ago
2009
IEEE
This study develops a procedure for automatic extraction and segmentation of a class-specific object (or region) by learning class-specific boundaries. We present and evaluate t...
COCOON
2005
Springer
14 years 3 months ago
2005
Springer
Rocchio’s similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive supervised lear...