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FQAS
2004
Springer
126views Database» more  FQAS 2004»
14 years 3 months ago
Cluster Characterization through a Representativity Measure
Clustering is an unsupervised learning task which provides a decomposition of a dataset into subgroups that summarize the initial base and give information about its structure. We ...
Marie-Jeanne Lesot, Bernadette Bouchon-Meunier
VL
2007
IEEE
166views Visual Languages» more  VL 2007»
14 years 4 months ago
Community-Based Scaffolding to Promote End-User Learning
End-user programming provides a unique opportunity to study informal computer science education and knowledge acquisition in the real world. We seek to explore the use of communit...
Brian Dorn
UM
2005
Springer
14 years 3 months ago
Modeling Individual and Collaborative Problem Solving in Medical Problem-Based Learning
Abstract. Since problem solving in group problem-based learning is a collaborative process, modeling individuals and the group is necessary if we wish to develop an intelligent tut...
Siriwan Suebnukarn, Peter Haddawy
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 11 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
MUE
2009
IEEE
144views Multimedia» more  MUE 2009»
14 years 4 months ago
Maxtream: Stabilizing P2P Streaming by Active Prediction of Behavior Patterns
In theory, peer-to-peer (P2P) based streaming designs and simulations provide a promising alternative to serverbased streaming systems both in cost and scalability. In practice ho...
Shay Horovitz, Danny Dolev