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AAAI
2011
14 years 6 months ago
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich
ECTEL
2007
Springer
16 years 23 days ago
Resolving Variations in Learning Spaces for Experiential Learning
Today, systems should react based on explicit demands from the learner or even proactively react based on changes in the working environment. The success of this type of systems de...
Eric Ras
MCS
2005
Springer
16 years 2 days ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
EMNLP
2009
15 years 4 months ago
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Gregory Druck, Burr Settles, Andrew McCallum
AAAI
2006
15 years 8 months ago
MedEthEx: A Prototype Medical Ethics Advisor
As part of a larger Machine Ethics Project, we are developing an ethical advisor that provides guidance to health care workers faced with ethical dilemmas. MedEthEx is an implemen...
Michael Anderson, Susan Leigh Anderson, Chris Arme...