Sciweavers

2082 search results - page 69 / 417
» Using model knowledge for learning inverse dynamics
Sort
View
ICML
2006
IEEE
14 years 9 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICDAR
2007
IEEE
14 years 3 months ago
Document Image Segmentation Using a 2D Conditional Random Field Model
This work relates to the implementation of a 2D conditional random field model in the context of document image analysis. Our model makes it possible to take variability into acco...
Stéphane Nicolas, J. Dardenne, Thierry Paqu...
JUCS
2007
146views more  JUCS 2007»
13 years 8 months ago
Ontology and Grammar of the SOPHIE Choreography Conceptual Framework - An Ontological Model for Knowledge Management
: Ontologies have been recognized as a fundamental infrastructure for advanced approaches to Knowledge Management (KM) automation in SOA. Building services communicate with each ot...
Sinuhé Arroyo
AAAI
2007
13 years 11 months ago
Modeling and Learning Vague Event Durations for Temporal Reasoning
This paper reports on our recent work on modeling and automatically extracting vague, implicit event durations from text (Pan et al., 2006a, 2006b). It is a kind of commonsense kn...
Feng Pan, Rutu Mulkar, Jerry R. Hobbs
ATAL
2008
Springer
13 years 10 months ago
Sequential decision making in repeated coalition formation under uncertainty
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
Georgios Chalkiadakis, Craig Boutilier