908 search results - page 70 / 182 » Stochastic Finite Learning |
CICLING
2010
Springer
14 years 5 days ago
2010
Springer
Term weighting strongly influences the performance of text mining and information retrieval approaches. Usually term weights are determined through statistical estimates based on s...
DMIN
2006
13 years 10 months ago
2006
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
ICIP
2010
IEEE
13 years 6 months ago
2010
IEEE
Optical lithography is a critical step in the semiconductor manufacturing process, and one key problem is the design of the photomask for a particular circuit pattern, given the o...
ACL
2009
13 years 6 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
FROCOS
2011
Springer
12 years 8 months ago
2011
Springer
A dominant approach to Satisfiability Modulo Theories (SMT) relies on the integration of a Conflict-Driven-Clause-Learning (CDCL) SAT solver and of a decision procedure able to h...