3643 search results - page 80 / 729 » Learning Submodular Functions |
88
Voted
ICML
1996
IEEE
15 years 2 months ago
1996
IEEE
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
68
Voted
NCA
2007
IEEE
14 years 9 months ago
2007
IEEE
Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications...
ECTEL
2010
Springer
14 years 8 months ago
2010
Springer
Abstract. We present basic concepts and an outlook on current approaches and techniques of personal learning environments to point out their demands, focussing on recommendations i...
90
Voted
ICML
1995
IEEE
15 years 11 months ago
1995
IEEE
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
76
Voted
ICRA
1994
IEEE
15 years 2 months ago
1994
IEEE
There is a close relationship between harmonic functions { which have recently been proposed for path planning { and hitting probabilities for random processes. The hitting probab...