1662 search results - page 69 / 333 » Generation of Attributes for Learning Algorithms |
115
Voted
INLG
2010
Springer
15 years 19 days ago
2010
Springer
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
107
Voted
CAV
2010
Springer
15 years 6 months ago
2010
Springer
Abstract. We propose a purely implicit solution to the contextual assumption generation problem in assume-guarantee reasoning. Instead of improving the L∗ algorithm — a learnin...
127
Voted
ECML
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
112
Voted
SIGECOM
2004
ACM
15 years 8 months ago
2004
ACM
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
133
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...