Sciweavers

2103 search results - page 268 / 421
» Approximate Learning of Dynamic Models
Sort
View
AAAI
2007
15 years 9 months ago
Nonmyopic Informative Path Planning in Spatio-Temporal Models
In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environ...
Alexandra Meliou, Andreas Krause, Carlos Guestrin,...
ACSD
2010
IEEE
219views Hardware» more  ACSD 2010»
15 years 4 months ago
The Model Checking View to Clock Gating and Operand Isolation
Abstract--Clock gating and operand isolation are two techniques to reduce the power consumption in state-of-the-art hardware designs. Both approaches basically follow a two-step pr...
Jens Brandt, Klaus Schneider, Sumit Ahuja, Sandeep...
ICPR
2008
IEEE
16 years 8 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
198
Voted
AMEC
2003
Springer
16 years 3 days ago
Improving Learning Performance by Applying Economic Knowledge
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
Christopher H. Brooks, Robert S. Gazzale, Jeffrey ...
UAI
2003
15 years 8 months ago
Learning Continuous Time Bayesian Networks
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...
Uri Nodelman, Christian R. Shelton, Daphne Koller