312 search results - page 55 / 63 » Learning Partially Observable Deterministic Action Models |
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
UAI
2008
13 years 9 months ago
2008
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
DIS
2009
Springer
14 years 2 months ago
2009
Springer
Within-network regression addresses the task of regression in partially labeled networked data where labels are sparse and continuous. Data for inference consist of entities associ...
NIPS
2008
13 years 9 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
KI
2008
Springer
13 years 7 months ago
2008
Springer
In table soccer, humans can not always thoroughly observe fast actions like rod spins and kicks. However, this is necessary in order to detect rule violations for example for tourn...