383 search results - page 43 / 77 » Converging on the Optimal Attainment of Requirements |
AAAI
2008
13 years 10 months ago
2008
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
AAAI
2006
13 years 9 months ago
2006
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
COMCOM
2007
13 years 7 months ago
2007
This paper presents a new algorithm for jointly optimal control of session rate, link attempt rate, and link power in contention based MultiHop Wireless Networks. Formulating the ...
SIAMJO
2002
13 years 7 months ago
2002
We study a class of generalized bundle methods for which the stabilizing term can be any closed convex function satisfying certain properties. This setting covers several algorithm...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...