1055 search results - page 47 / 211 » Convex Factorization Machines |
94
Voted
BMCBI
2006
14 years 10 months ago
2006
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
115
Voted
BMCBI
2006
14 years 10 months ago
2006
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
78
Voted
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
ICML
2009
IEEE
15 years 11 months ago
2009
IEEE
We present tight surrogate regret bounds for the class of proper (i.e., Fisher consistent) losses. The bounds generalise the margin-based bounds due to Bartlett et al. (2006). The...