945 search results - page 98 / 189 » Dialog Convergence and Learning |
118
Voted
CORR
2010
Springer
15 years 1 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
143
click to vote
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
Multiple-instance Learning (MIL) is a new paradigm
of supervised learning that deals with the classification of
bags. Each bag is presented as a collection of instances
from whi...
157
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
140
Voted
ICML
1999
IEEE
16 years 4 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...
117
Voted
ECTEL
2007
Springer
15 years 9 months ago
2007
Springer
Knowledge Repositories can be a potential solution in order to cover agricultural professionals' lifelong learning needs. An application area of particular interest is the one...