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FOIKS
2008
Springer
14 years 11 months ago
Cost-Minimising Strategies for Data Labelling: Optimal Stopping and Active Learning
Supervised learning deals with the inference of a distribution over an output or label space Y conditioned on points in an observation space X , given a training dataset D of pair...
Christos Dimitrakakis, Christian Savu-Krohn
SOPR
2008
60views more  SOPR 2008»
14 years 9 months ago
Human resources based improvement strategies - the learning factor
: Processes usually are defined according to underlying standards (ISO 15504, ESA ECSS, ISO 9001, ...) and are described with process steps to be performed by roles and producing r...
Richard Messnarz, Damjan Ekert, Michael Reiner, Ge...
SAGA
2009
Springer
15 years 4 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
CIG
2005
IEEE
15 years 3 months ago
Coevolution in Hierarchical AI for Strategy Games
Real-Time Strategy games present an interesting problem domain for Artificial Intelligence research. We review current approaches to developing AI systems for such games, noting th...
Daniel Livingstone
AAMAS
2007
Springer
14 years 10 months ago
Local strategy learning in networked multi-agent team formation
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...
Blazej Bulka, Matthew E. Gaston, Marie desJardins