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ECTEL
2009
Springer
15 years 10 months ago
How Much Assistance Is Helpful to Students in Discovery Learning?
How much help helps in discovery learning? This question is one instance of the assistance dilemma, an important issue in the learning sciences and educational technology research....
Alexander Borek, Bruce M. McLaren, Michael Karabin...
CSEE
2011
Springer
14 years 7 months ago
Pex4Fun: Teaching and learning computer science via social gaming
Pex4Fun (http://www.pexforfun.com/)from Microsoft Research is a web-based serious gaming environment for teaching computer science. Pex4Fun can be used to teach and learn computer...
Nikolai Tillmann, Jonathan de Halleux, Tao Xie
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
15 years 7 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
ECCV
2010
Springer
15 years 4 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 4 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson