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ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
16 years 17 days ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
16 years 17 days ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
ECTEL
2007
Springer
16 years 12 days ago
Reasoning-Based Curriculum Sequencing and Validation: Integration in a Service-Oriented Architecture
Abstract. We present a service-oriented personalization system, set in an educational framework, based on a semantic annotation of courses, given at a knowledge level (what the cou...
Matteo Baldoni, Cristina Baroglio, Ingo Brunkhorst...
ECTEL
2007
Springer
16 years 12 days ago
Modelling the Virtual Company Educational Scenario Competence Assessment in the Cooper Environment
The Virtual Company educational scenario engages students in a professional setting for working and learning. Students are enabled to develop competencies that are derived from pro...
Howard Spoelstra, Vlad Posea, Jan van Bruggen, Rob...
ICANNGA
2007
Springer
149views Algorithms» more  ICANNGA 2007»
16 years 12 days ago
Using Real-Valued Meta Classifiers to Integrate and Contextualize Binding Site Predictions
Currently the best algorithms for transcription factor binding site predictions are severely limited in accuracy. However, a non-linear combination of these algorithms could improv...
Mark Robinson, Offer Sharabi, Yi Sun, Rod Adams, R...