1760 search results - page 185 / 352 » Learning from Partial Observations |
129
click to vote
CN
2007
15 years 4 months ago
2007
Intrusion detection systems (IDS) often provide poor quality alerts, which are insufficient to support rapid identification of ongoing attacks or predict an intruder’s next lik...
139
click to vote
CIARP
2006
Springer
15 years 6 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
155
click to vote
IJCAI
2001
15 years 5 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
141
click to vote
UAI
2003
15 years 5 months ago
2003
Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
159
click to vote
AAI
2005
15 years 4 months ago
2005
This paper is about people. It is about understanding how learning and communication mutually influence one another; allowing people to infer each other's communicative behavi...