275 search results - page 5 / 55 » Online Stochastic and Robust Optimization |
NIPS
2008
14 years 11 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
73
Voted
MP
2008
14 years 9 months ago
2008
Robust Optimization is a rapidly developing methodology for handling optimization problems affected by non-stochastic "uncertain-butbounded" data perturbations. In this p...
91
Voted
ESA
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. We present a first constant performance guarantee for preemptive stochastic scheduling to minimize the sum of weighted completion times. For scheduling jobs with release ...
102
Voted
ICVGIP
2004
14 years 11 months ago
2004
A segmentation algorithm, which can detect different regions of a handwritten document such as text lines, tables and sketches will be extremely useful in a variety of application...
144
Voted
ICAART
2010
INSTICC
15 years 6 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...