495 search results - page 36 / 99 » Approximation algorithms for budgeted learning problems |
ICMLA
2008
13 years 10 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
SIAMCOMP
1998
13 years 8 months ago
1998
Motivated by applications in computer graphics, visualization, and scienti c computation, we study the computational complexity of the following problem: Given a set S of n points...
ICML
2010
IEEE
13 years 9 months ago
2010
IEEE
Approximate MAP inference in graphical models is an important and challenging problem for many domains including computer vision, computational biology and natural language unders...
UAI
2008
13 years 10 months ago
2008
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...