3643 search results - page 1 / 729 » Learning Submodular Functions |
FOCS
2008
IEEE
13 years 11 months ago
2008
IEEE
We introduce several generalizations of classical computer science problems obtained by replacing simpler objective functions with general submodular functions. The new problems i...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Many combinatorial problems arising in machine learning can be reduced to the problem of minimizing a submodular function. Submodular functions are a natural discrete analog of co...
JMLR
2010
13 years 4 days ago
2010
In recent years, a fundamental problem structure has emerged as very useful in a variety of machine learning applications: Submodularity is an intuitive diminishing returns proper...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
CORR
2012
Springer
12 years 1 months ago
2012
Springer
