1235 search results - page 86 / 247 » Learning with Idealized Kernels |
IDEAL
2000
Springer
15 years 1 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose an ℓ1 criterion for dictionary learning for sparse signal representation. Instead of directly searching for the dictionary vectors, our dictionary learning approach i...
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
IDEAL
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Much work has been done to identify species-specific proteins in sequenced genomes and hence to determine their function. We assumed that such proteins have specific ph...
IDEAL
2004
Springer
15 years 3 months ago
2004
Springer
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...