597 search results - page 32 / 120 » Scalable, updatable predictive models for sequence data |
SIGMOD
1999
ACM
14 years 2 months ago
1999
ACM
Classification is an important data mining problem. Given a training database of records, each tagged with a class label, the goal of classification is to build a concise model ...
ACL
2006
13 years 11 months ago
2006
We present a new semi-supervised training procedure for conditional random fields (CRFs) that can be used to train sequence segmentors and labelers from a combination of labeled a...
RECOMB
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. A probabilistic graphical model is developed in order to detect the dependent evolution between different sites in biological sequences. Given a multiple sequence alignme...
CSB
2005
IEEE
14 years 3 months ago
2005
IEEE
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
CIKM
2009
Springer
14 years 4 months ago
2009
Springer
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...