Sciweavers

1149 search results - page 123 / 230
» Learning Dynamic Bayesian Networks
Sort
View
ICCV
2007
IEEE
15 years 12 months ago
Learning Higher-order Transition Models in Medium-scale Camera Networks
We present a Bayesian framework for learning higherorder transition models in video surveillance networks. Such higher-order models describe object movement between cameras in the...
Ryan Farrell, David S. Doermann, Larry S. Davis
IVA
2010
Springer
14 years 8 months ago
Individualized Gesturing Outperforms Average Gesturing - Evaluating Gesture Production in Virtual Humans
Abstract. How does a virtual agent’s gesturing behavior influence the user’s perception of communication quality and the agent’s personality? This question was investigated ...
Kirsten Bergmann, Stefan Kopp, Friederike Eyssel
JIB
2006
220views more  JIB 2006»
14 years 10 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...
ICML
2005
IEEE
15 years 10 months ago
Dynamic preferences in multi-criteria reinforcement learning
The current framework of reinforcement learning is based on maximizing the expected returns based on scalar rewards. But in many real world situations, tradeoffs must be made amon...
Sriraam Natarajan, Prasad Tadepalli
TNN
1998
100views more  TNN 1998»
14 years 9 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada