440 search results - page 2 / 88 » A Fast Algorithm for Learning a Ranking Function from Large-... |
BMCBI
2008
13 years 5 months ago
2008
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
NIPS
2007
13 years 6 months ago
2007
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
ICTAI
2006
IEEE
13 years 11 months ago
2006
IEEE
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
ACL
2012
11 years 7 months ago
2012
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
ICIP
2007
IEEE
14 years 7 months ago
2007
IEEE
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...