28 search results - page 5 / 6 » Efficient Sampling for Gaussian Process Inference using Cont... |
EMNLP
2009
13 years 3 months ago
2009
We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice...
CDC
2008
IEEE
13 years 5 months ago
2008
IEEE
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in control theory, machine learning, and discrete geometry. This c...
NIPS
2008
13 years 6 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
BMCBI
2008
13 years 5 months ago
2008
Background: Multivariate ordination methods are powerful tools for the exploration of complex data structures present in microarray data. These methods have several advantages com...
BMCBI
2011
13 years 8 days ago
2011
Background: Large databases of genetic data are often biased in their representation. Thus, selection of genetic data with desired properties, such as evolutionary representation ...