104 search results - page 8 / 21 » A Probabilistic Learning Approach to Whole-Genome Operon Pre... |
EMNLP
2011
12 years 7 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Identification of prosodic phenomena is of first importance in prosodic analysis and modeling. In this paper, we introduce a new method for automatic prosodic phenomena labellin...
COLCOM
2005
IEEE
14 years 1 months ago
2005
IEEE
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
SIGIR
2003
ACM
14 years 28 days ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
The development of the XCS Learning Classifier System has produced a robust and stable implementation that performs competitively in direct-reward environments. Although investig...