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» On Aggregating Teams of Learning Machines
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BMCBI
2010
224views more  BMCBI 2010»
13 years 8 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
ICALT
2003
IEEE
14 years 1 months ago
Students' Understanding of Computer Networks in an Internationally Distributed Course
The different ways in which concepts within computer networks are understood by master level students who take an internationally distributed project-based course have been identi...
Anders Berglund, Arnold Neville Pears
ICALT
2005
IEEE
14 years 1 months ago
Building Software Agents to Assist Teaching in Distance Learning Environments
This paper reports on the implementation and realization of software agents as teaching assistants in the distance learning environment. The software agent we built is able to ext...
Sheung-On Choy, Sin Chun Ng, Yiu-Chung Tsang
ICML
2006
IEEE
14 years 1 months ago
Automatic basis function construction for approximate dynamic programming and reinforcement learning
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
Philipp W. Keller, Shie Mannor, Doina Precup
ECML
2006
Springer
13 years 11 months ago
Case-Based Label Ranking
Label ranking studies the problem of learning a mapping from instances to rankings over a predefined set of labels. We approach this setting from a case-based perspective and propo...
Klaus Brinker, Eyke Hüllermeier