2615 search results - page 316 / 523 » Predictive Hebbian Learning |
134
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
144
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We present a novel algorithm for agglomerative hierarchical clustering based on evaluating marginal likelihoods of a probabilistic model. This algorithm has several advantages ove...
130
Voted
ICDM
2009
IEEE
15 years 10 months ago
2009
IEEE
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
128
Voted
BIBM
2008
IEEE
15 years 10 months ago
2008
IEEE
Identifying functionally important sites from biological sequences, formulated as a biological sequence labeling problem, has broad applications ranging from rational drug design ...
144
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COLT
2001
Springer
15 years 8 months ago
2001
Springer
In this paper, we examine on-line learning problems in which the target concept is allowed to change over time. In each trial a master algorithm receives predictions from a large ...