Sciweavers

1047 search results - page 51 / 210
» Learning the required number of agents for complex tasks
Sort
View
AIR
2006
107views more  AIR 2006»
13 years 7 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
IV
2009
IEEE
114views Visualization» more  IV 2009»
14 years 2 months ago
Chronos: A Tool for Interactive Scheduling and Visualisation of Task Hierarchies
Visualisation and structuring of tasks in a schedule, from relatively simple activities such as meeting scheduling to more complex ones such as project planning, has been traditio...
Saturnino Luz, Masood Masoodian, Daniel McKenzie, ...
FLAIRS
2007
13 years 10 months ago
Context-Sensitive MTL Networks for Machine Lifelong Learning
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Daniel L. Silver, Ryan Poirier
AAAI
2004
13 years 9 months ago
mCP Nets: Representing and Reasoning with Preferences of Multiple Agents
We introduce mCP nets, an extension of the CP net formalism to model and handle the qualitative and conditional preferences of multiple agents. We give a number of different seman...
Francesca Rossi, Kristen Brent Venable, Toby Walsh
JIRS
2007
120views more  JIRS 2007»
13 years 7 months ago
Optimal Camera Placement for Automated Surveillance Tasks
— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number ...
Robert Bodor, Andrew Drenner, Paul R. Schrater, Ni...