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AAAI
2011
14 years 6 months ago
End-User Feature Labeling via Locally Weighted Logistic Regression
Applications that adapt to a particular end user often make inaccurate predictions during the early stages when training data is limited. Although an end user can improve the lear...
Weng-Keen Wong, Ian Oberst, Shubhomoy Das, Travis ...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
16 years 29 days ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
EDM
2011
197views Data Mining» more  EDM 2011»
14 years 6 months ago
Towards Improvements on Domain-independent Measurements for Collaborative Assessment
Assessment on collaborative student behavior is a longstanding issue in user modeling. Nowadays thanks to the proliferation of online learning and the vast amount of data on studen...
Antonio R. Anaya, Jesus Boticario
ATAL
2009
Springer
16 years 1 months ago
Stable multi-project scheduling of airport ground handling services by heterogeneous agents
This paper addresses decentralized multi-project scheduling under uncertainty. The problem instance we study is the scheduling of airport ground handling services, where aircraft ...
Xiaoyu Mao, Nico Roos, Alfons H. Salden
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
16 years 29 days ago
ECGA vs. BOA in discovering stock market trading experts
This paper presents two evolutionary algorithms, ECGA and BOA, applied to constructing stock market trading expertise, which is built on the basis of a set of specific trading ru...
Piotr Lipinski