716 search results - page 21 / 144 » Optimizing Sorting with Machine Learning Algorithms |
105
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ALT
2008
Springer
15 years 10 months ago
2008
Springer
In this paper we consider the problem of actively learning the mean values of distributions associated with a finite number of options (arms). The algorithms can select which opti...
99
Voted
ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
ICML
2003
IEEE
16 years 2 months ago
2003
IEEE
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
140
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
99
Voted
ALT
2006
Springer
15 years 10 months ago
2006
Springer
The present paper mainly studies the expected teaching time of memoryless randomized learners without feedback. First, a characterization of optimal randomized learners is provided...