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ALT
2008
Springer
16 years 3 months ago
Learning with Continuous Experts Using Drifting Games
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
Indraneel Mukherjee, Robert E. Schapire
GPCE
2009
Springer
15 years 10 months ago
Mapping problem-space to solution-space features: a feature interaction approach
Mapping problem-space features into solution-space features is a fundamental configuration problem in software product line engineering. A configuration problem is defined as g...
Frans Sanen, Eddy Truyen, Wouter Joosen
AAAI
1997
15 years 8 months ago
Reinforcement Learning with Time
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
Daishi Harada
AIED
2011
Springer
14 years 10 months ago
Learning by Teaching SimStudent - An Initial Classroom Baseline Study Comparing with Cognitive Tutor
: This paper describes an application of a machine-learning agent, SimStudent, as a teachable peer learner that allows a student to learn by teaching. SimStudent has been integrate...
Noboru Matsuda, Evelyn Yarzebinski, Victoria Keise...
ICDCN
2011
Springer
14 years 10 months ago
Load Balanced Scalable Byzantine Agreement through Quorum Building, with Full Information
We address the problem of designing distributed algorithms for large scale networks that are robust to Byzantine faults. We consider a message passing, full information model: the ...
Valerie King, Steven Lonargan, Jared Saia, Amitabh...