Sciweavers

696 search results - page 63 / 140
» Probabilistic-Logic Models: Reasoning and Learning with Rela...
Sort
View
INLG
2010
Springer
15 years 2 months ago
Hierarchical Reinforcement Learning for Adaptive Text Generation
We present a novel approach to natural language generation (NLG) that applies hierarchical reinforcement learning to text generation in the wayfinding domain. Our approach aims to...
Nina Dethlefs, Heriberto Cuayáhuitl
162
Voted
AH
2008
Springer
15 years 10 months ago
A Validation Framework for Formal Models in Adaptive Work-Integrated Learning
The focus of my thesis is on the development of a multi-method framework for the validation of formal models (domain model, user model, and teaching model) for adaptive work-integr...
Barbara Kump
ICML
2003
IEEE
16 years 5 months ago
Learning with Knowledge from Multiple Experts
The use of domain knowledge in a learner can greatly improve the models it produces. However, high-quality expert knowledge is very difficult to obtain. Traditionally, researchers...
Matthew Richardson, Pedro Domingos
LOGCOM
2007
91views more  LOGCOM 2007»
15 years 4 months ago
A New Modal Approach to the Logic of Intervals
In Artificial Intelligence there is a need for reasoning about continuous processes, where assertions refer to time intervals rather than time points. Taking our lead from van Ben...
Altaf Hussain
BMCBI
2008
138views more  BMCBI 2008»
15 years 4 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones