219 search results - page 30 / 44 » Using Markov Blankets for Causal Structure Learning |
115
Voted
AAAI
1997
15 years 5 months ago
1997
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
133
Voted
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...
140
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: Many protein sequences are still poorly annotated. Functional characterization of a protein is often improved by the identification of its interaction partners. Here, ...
170
Voted
ECAI
2004
Springer
15 years 9 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
161
Voted
AR
2007
15 years 3 months ago
2007
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...