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AIL
2010
60views more  AIL 2010»
13 years 9 months ago
Network-based filtering for large email collections in E-Discovery
The information overload in E-Discovery proceedings makes reviewing expensive and it increases the risk of failure to produce results on time and consistently. New interactive tec...
Hans Henseler
AIEDU
2010
13 years 9 months ago
Supporting Collaborative Learning and E-Discussions Using Artificial Intelligence Techniques
An emerging trend in classrooms is the use of networked visual argumentation tools that allow students to discuss, debate, and argue with one another in a synchronous fashion about...
Bruce M. McLaren, Oliver Scheuer, Jan Miksatko
AIEDAM
2010
152views more  AIEDAM 2010»
13 years 9 months ago
A content account of creative analogies in biologically inspired design
The growing movement of biologically inspired design is driven in part by the need for sustainable development and in part by the recognition that nature could be a source of inno...
Swaroop Vattam, Michael E. Helms, Ashok K. Goel
AIME
2009
Springer
13 years 9 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
AIIDE
2009
13 years 9 months ago
IMPLANT: An Integrated MDP and POMDP Learning AgeNT for Adaptive Games
This paper proposes an Integrated MDP and POMDP Learning AgeNT (IMPLANT) architecture for adaptation in modern games. The modern game world basically involves a human player actin...
Chek Tien Tan, Ho-Lun Cheng
IEEEICCI
2009
IEEE
13 years 9 months ago
Cognitive synergy: A universal principle for feasible general intelligence
Do there exist general principles, which any system must obey in order to achieve advanced general intelligence using feasible computational resources? Here we propose one candida...
Ben Goertzel
IEEEICCI
2009
IEEE
13 years 9 months ago
Learning from an ensemble of Receptive Fields
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
Hanlin Goh, Joo Hwe Lim, Chai Quek
IEEEICCI
2009
IEEE
13 years 9 months ago
Agent evaluations for role assignment
Abstract--Role assignment is an important task in RoleBased Collaboration (RBC). Agent evaluation is the first step of role assignment. The other two steps are group role assignmen...
Haibin Zhu, Matthew Grenier