1474 search results - page 164 / 295 » Using Machine Learning to Focus Iterative Optimization |
120
click to vote
ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
A standard method for approximating averages in probabilistic models is to construct a Markov chain in the product space of the random variables with the desired equilibrium distr...
132
click to vote
ECML
2006
Springer
15 years 6 months ago
2006
Springer
Recent scaling up of POMDP solvers towards realistic applications is largely due to point-based methods such as PBVI, Perseus, and HSVI, which quickly converge to an approximate so...
127
click to vote
ML
2002
ACM
15 years 2 months ago
2002
ACM
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
172
click to vote
ICDE
2012
IEEE
13 years 5 months ago
2012
IEEE
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
140
click to vote
JMIV
2007
15 years 3 months ago
2007
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...