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» Fuzzy sets in machine learning and data mining
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ICML
2005
IEEE
16 years 5 months ago
Using additive expert ensembles to cope with concept drift
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Jeremy Z. Kolter, Marcus A. Maloof
SAC
2005
ACM
15 years 10 months ago
Privacy preserving learning in negotiation
Machine learning techniques are widely used in negotiation systems. To get more accurate and satisfactory learning results, negotiation parties have the desire to employ learning ...
Sheng Zhang, Fillia Makedon
JUCS
2008
119views more  JUCS 2008»
15 years 4 months ago
A Standards-based Modelling Approach for Dynamic Generation of Adaptive Learning Scenarios
: One of the key problems in developing standard based adaptive courses is the complexity involved in the design phase, especially when establishing the hooks for the dynamic model...
Jesus Boticario, Olga C. Santos
ICML
2010
IEEE
15 years 5 months ago
Variable Selection in Model-Based Clustering: To Do or To Facilitate
Variable selection for cluster analysis is a difficult problem. The difficulty originates not only from the lack of class information but also the fact that high-dimensional data ...
Leonard K. M. Poon, Nevin Lianwen Zhang, Tao Chen,...
MLMI
2005
Springer
15 years 10 months ago
Multimodal Integration for Meeting Group Action Segmentation and Recognition
We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, ...
Marc Al-Hames, Alfred Dielmann, Daniel Gatica-Pere...