2934 search results - page 47 / 587 » Hypothesis Spaces for Learning |
135
Voted
ICML
2000
IEEE
16 years 4 months ago
2000
IEEE
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
140
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
175
Voted
ECML
2006
Springer
15 years 7 months ago
2006
Springer
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
117
Voted
COLT
1999
Springer
15 years 8 months ago
1999
Springer
We consider the AdaBoost procedure for boosting weak learners. In AdaBoost, a key step is choosing a new distribution on the training examples based on the old distribution and th...
122
click to vote
FLAIRS
2008
15 years 6 months ago
2008
An important hypothesis of the research reported in this paper is that dynamic space warping (DSW), a dynamic programming (DP) technique (Bellman 1965, Brown 1996), can be effecti...