1474 search results - page 73 / 295 » Using Machine Learning to Focus Iterative Optimization |
129
Voted
ICMLA
2009
15 years 10 days ago
2009
In sequential decision making under uncertainty, as in many other modeling endeavors, researchers observe a dynamical system and collect data measuring its behavior over time. The...
159
Voted
COLT
2010
Springer
15 years 18 days ago
2010
Springer
Bandit convex optimization is a special case of online convex optimization with partial information. In this setting, a player attempts to minimize a sequence of adversarially gen...
147
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The choice of the kernel function which determines the mapping between the input space and the feature space is of crucial importance to kernel methods. The past few years have se...
126
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
97
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We present an efficient method for maximizing energy functions with first and second order potentials, suitable for MAP labeling estimation problems that arise in undirected graph...