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ICML
2008
IEEE
14 years 8 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
SIGCSE
2008
ACM
412views Education» more  SIGCSE 2008»
13 years 8 months ago
Undergraduate data communications and networking projects using opnet and wireshark software
The national importance of creating "content reflecting cutting edge developments in STEM fields" has been recognized the National Science Foundation. The National Resea...
Vasil Hnatyshin, Andrea F. Lobo
MSE
2005
IEEE
153views Hardware» more  MSE 2005»
14 years 1 months ago
ipPROCESS: Using a Process to Teach IP-Core Development
The reusing of Intellectual Property cores has been an alternative to the increasing gap between design productivity and chip complexity of emerging System-on-chip (SoC) designs. ...
Marilia Lima, Andre Aziz, Diogo José Costa ...
AIEDU
2006
89views more  AIEDU 2006»
13 years 8 months ago
Learner Centred Design in the Adventure Author Project
Involving stakeholders at an early stage of learning environment design enables researchers to base a system around the needs of learners. By working directly with learners, resear...
Seth Goolnik, Judy Robertson, Judith Good
SIGCSE
2010
ACM
186views Education» more  SIGCSE 2010»
14 years 2 months ago
Teaching operating systems using virtual appliances and distributed version control
Students learn more through hands-on project experience for computer science courses such as operating systems, but providing the infrastructure support for a large class to learn...
Oren Laadan, Jason Nieh, Nicolas Viennot