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NIPS
1994
13 years 8 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen
ICTAI
2005
IEEE
14 years 1 months ago
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
AIED
2009
Springer
14 years 2 months ago
Looking Into Collaborative Learning: Design from Macro- and Micro-Script Perspectives
Design of collaborative learning (CL) scenarios is a complex task, but necessary if the goal of the collaboration is learning. Creating well-thought-out CL scenarios requires exper...
Eloy D. Villasclaras-Fernández, Seiji Isota...
DATE
2009
IEEE
107views Hardware» more  DATE 2009»
14 years 2 months ago
Learning early-stage platform dimensioning from late-stage timing verification
— Today's innovations in the automotive sector are, to a great extent, based on electronics. The increasing integration complexity and stringent cost reduction goals turn E/...
Kai Richter, Marek Jersak, Rolf Ernst
RPTEL
2006
96views more  RPTEL 2006»
13 years 7 months ago
Supporting Self-Directed Learners and Learning Communities with Sociotechnical Environments
Making learning part of life is an essential challenge for inventing the future of our societies. Lifelong learning is a necessity rather than a possibility or a luxury to be cons...
Gerhard Fischer, Masanori Sugimoto