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ICML
1994
IEEE
15 years 10 months ago
Efficient Algorithms for Minimizing Cross Validation Error
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...
Andrew W. Moore, Mary S. Lee
AAAI
2007
15 years 8 months ago
Nonmyopic Informative Path Planning in Spatio-Temporal Models
In many sensing applications we must continuously gather information to provide a good estimate of the state of the environment at every point in time. A robot may tour an environ...
Alexandra Meliou, Andreas Krause, Carlos Guestrin,...
AIPS
2008
15 years 8 months ago
Unifying the Causal Graph and Additive Heuristics
Many current heuristics for domain-independent planning, such as Bonet and Geffner's additive heuristic and Hoffmann and Nebel's FF heuristic, are based on delete relaxa...
Malte Helmert, Hector Geffner
AIPS
2008
15 years 8 months ago
Effective Information Value Calculation for Interruption Management in Multi-Agent Scheduling
This paper addresses the problem of deciding effectively whether to interrupt a teammate who may have information that is valuable for solving a collaborative scheduling problem. ...
David Sarne, Barbara J. Grosz, Peter Owotoki
ATAL
2008
Springer
15 years 8 months ago
A multi-agent simulation system for prediction and scheduling of aero engine overhaul
The Aero Repair and Overhaul industry is facing an increasing challenge of prediction and scheduling of engine overhauls to remain competitive in a complex business arena. An appr...
Armin Stranjak, Partha Sarathi Dutta, Mark Ebden, ...