7378 search results - page 344 / 1476 » Introduction to Machine Learning |
225
click to vote
EMNLP
2011
14 years 6 months ago
2011
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
142
click to vote
ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
This paper investigates the problem of automatically learning how to restructure the reward function of a Markov decision process so as to speed up reinforcement learning. We begi...
207
click to vote
ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
153
click to vote
ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...
177
click to vote
COLT
1999
Springer
15 years 11 months ago
1999
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...