247 search results - page 47 / 50 » Superset Learning Based on Generalized Loss Minimization |
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we propose a novel nonparametric modeling technique, namely Space Kernel Analysis (SKA), as a result of the definition of the space kernel. We analyze the uncertai...
ICANNGA
2009
Springer
15 years 4 months ago
2009
Springer
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
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MHCI
2005
Springer
15 years 3 months ago
2005
Springer
Acontextuality of the mobile phone often leads to a caller’s uncertainty over a callee’s current state, which in turn often hampers mobile collaboration. We are interested in ...
ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Active inference seeks to maximize classification performance while minimizing the amount of data that must be labeled ex ante. This task is particularly relevant in the context o...
ICALP
2000
Springer
15 years 1 months ago
2000
Springer
We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and partial transve...