35 search results - page 6 / 7 » Randomizing Outputs to Increase Prediction Accuracy |
BCB
2010
13 years 15 days ago
2010
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Recent years have witnessed an increasing number of studies in stream mining, which aim at building an accurate model for continuously arriving data. Somehow most existing work ma...
INFOCOM
2011
IEEE
12 years 9 months ago
2011
IEEE
—Due to the rapid growth of real-time applications and the ubiquity of IEEE 802.11 MAC as a layer-2 protocol for wireless local area networks (WLANs), it is of increasing interes...
EC
2006
13 years 5 months ago
2006
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...