1291 search results - page 26 / 259 » Learning Rules from Distributed Data |
ICML
2010
IEEE
15 years 24 days ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
ICML
2005
IEEE
16 years 16 days ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
ALT
2010
Springer
15 years 1 months ago
2010
Springer
Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of ...
123
click to vote
CIKM
2009
Springer
15 years 4 months ago
2009
Springer
Data mining can extract important knowledge from large data collections - but sometimes these collections are split among various parties. Privacy concerns may prevent the parties...
PKDD
2010
Springer
14 years 9 months ago
2010
Springer
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...