2703 search results - page 180 / 541 » Learning operational requirements from goal models |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
OTM
2005
Springer
14 years 1 months ago
2005
Springer
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
ACIIDS
2010
IEEE
13 years 10 months ago
2010
IEEE
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
CVPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
SIGGRAPH
2010
ACM
14 years 21 days ago
2010
ACM
We present a technique for learning clothing models that enables the simultaneous animation of thousands of detailed garments in real-time. This surprisingly simple conditional mo...