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EMNLP
2007
13 years 10 months ago
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
Jun Suzuki, Akinori Fujino, Hideki Isozaki
IPPS
2007
IEEE
14 years 2 months ago
Cost-Driven Hybrid Configuration Prefetching for Partial Reconfigurable Coprocessor
Reconfigurable computing systems have developed the capability of changing the configuration of the reconfigurable coprocessor multiple times during the course of a program. Howev...
Ying Chen, Simon Y. Chen
IJON
2006
161views more  IJON 2006»
13 years 8 months ago
Evolving hybrid ensembles of learning machines for better generalisation
Ensembles of learning machines have been formally and empirically shown to outperform (generalise better than) single predictors in many cases. Evidence suggests that ensembles ge...
Arjun Chandra, Xin Yao
IUI
2006
ACM
14 years 2 months ago
A hybrid learning system for recognizing user tasks from desktop activities and email messages
The TaskTracer system seeks to help multi-tasking users manage the resources that they create and access while carrying out their work activities. It does this by associating with...
Jianqiang Shen, Lida Li, Thomas G. Dietterich, Jon...
ICIP
1997
IEEE
14 years 10 months ago
Prediction Based on Boolean Filters for Multiresolution Lossless Image Compression
In this paper Boolean filters and a variation of these, FIR-Boolean hybrid filters are proposed for realizing the prediction stages of a multiresolution lossless image compression...
Doina Petrescu, Moncef Gabbouj