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FLAIRS
2008
14 years 12 months ago
Learning to Assess Low-Level Conceptual Understanding
This paper analyzes the impact of several lexical and grammatical features in automated assessment of students' finegrained understanding of tutored concepts. Truly effective...
Rodney D. Nielsen, Wayne Ward, James H. Martin
90
Voted
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 2 months ago
Transfer learning through indirect encoding
An important goal for the generative and developmental systems (GDS) community is to show that GDS approaches can compete with more mainstream approaches in machine learning (ML)....
Phillip Verbancsics, Kenneth O. Stanley
72
Voted
ITS
2004
Springer
166views Multimedia» more  ITS 2004»
15 years 2 months ago
Alternative Views on Knowledge: Presentation of Open Learner Models
This paper describes a study in which individual learner models were built for students and presented to them with a choice of view. Students found it useful, and not confusing to ...
Andrew Mabbott, Susan Bull
ATAL
2010
Springer
14 years 10 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
FLAIRS
2007
14 years 12 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