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» Learning the required number of agents for complex tasks
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AAAI
2008
13 years 10 months ago
Hypothesis Pruning and Ranking for Large Plan Recognition Problems
This paper addresses the problem of plan recognition for multi-agent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. ...
Gita Sukthankar, Katia P. Sycara
ATAL
2008
Springer
13 years 10 months ago
Autonomous geocaching: navigation and goal finding in outdoor domains
This paper describes an autonomous robot system designed to solve the challenging task of geocaching. Geocaching involves locating a goal object in an outdoor environment given on...
James Neufeld, Michael Sokolsky, Jason Roberts, Ad...
ATAL
2008
Springer
13 years 10 months ago
Robust and efficient plan recognition for dynamic multi-agent teams
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Gita Sukthankar, Katia P. Sycara
PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
14 years 2 months ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
ICML
2005
IEEE
14 years 8 months ago
An efficient method for simplifying support vector machines
In this paper we describe a new method to reduce the complexity of support vector machines by reducing the number of necessary support vectors included in their solutions. The red...
DucDung Nguyen, Tu Bao Ho