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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 7 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
MODELLIERUNG
2004
15 years 8 months ago
Modeling Socio-Technical Processes in e-Commerce Scenarios
: We consider socio-technical processes, i.e. processes where machines as well as humans participate. Typical examples occur in sales processes in e-commerce. Three modeling tasks ...
Michael M. Richter, Armin Stahl
AIED
2009
Springer
16 years 1 months ago
Toward Adaptive Presentations of Student Models in eLearning Environments
In this paper we report our work on introducing adaptations of the learner model’s presentation in adaptive educational systems, in order to bring a healthy balance between the u...
Luca Mazzola, Riccardo Mazza
ICMI
2009
Springer
146views Biometrics» more  ICMI 2009»
16 years 1 months ago
Learning from preferences and selected multimodal features of players
The influence of multimodal sources of input data to the construction of accurate computational models of user preferences is investigated in this paper. The case study presented...
Georgios N. Yannakakis
ATAL
2000
Springer
15 years 11 months ago
An Architectural Framework for Integrated Multiagent Planning, Reacting, and Learning
Abstract. Dyna is a single-agent architectural framework that integrates learning, planning, and reacting. Well known instantiations of Dyna are Dyna-AC and Dyna-Q. Here a multiage...
Gerhard Weiß