4578 search results - page 309 / 916 » Learning from Multi-source Data |
166
Voted
PAA
2002
15 years 3 months ago
2002
: Many classification problems involve high dimensional inputs and a large number of classes. Multiclassifier fusion approaches to such difficult problems typically centre around s...
127
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
122
Voted
ECML
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
142
click to vote
AIED
2009
Springer
15 years 10 months ago
2009
Springer
Researchers that make tutoring systems would like to know which pieces of educational content are most effective at promoting learning among their students. Randomized controlled e...
137
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...