503 search results - page 79 / 101 » Learning Semantic Concepts from Visual Data Using Neural Net... |
CRV
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
86
Voted
CIDM
2009
IEEE
15 years 4 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
BIBE
2007
IEEE
15 years 3 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
EON
2003
14 years 11 months ago
2003
In this paper we describe Racer, which can be considered as a core inference engine for the semantic web. The Racer inference server offers two APIs that are already used by at le...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...