7930 search results - page 1265 / 1586 » Greedy in Approximation Algorithms |
151
click to vote
ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
176
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
In this paper we investigate two aspects of ranking problems on large graphs. First, we augment the deterministic pruning algorithm in Sarkar and Moore (2007) with sampling techni...
175
click to vote
ICML
1999
IEEE
16 years 7 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
168
click to vote
SIGSOFT
2005
ACM
16 years 6 months ago
2005
ACM
Performance profiling consists of monitoring a software system during execution and then analyzing the obtained data. There are two ways to collect profiling data: event tracing t...
188
click to vote
ISBI
2006
IEEE
16 years 6 months ago
2006
IEEE
This paper introduces a novel and efficient algorithm for reconstructing the 3D shapes of tumors from a set of 2D bioluminescence images which are taken by the same camera but aft...