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EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 1 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ICASSP
2009
IEEE
14 years 3 months ago
Small-group learning projects to make signal processing more appealing: From speech processing to OFDMA synchronization
Whereas lecturing is the most widely used mode of instruction, we have explored small-group learning projects to make signal processing more appealing at the University and in Eng...
G. Ferre, Audrey Giremus, Eric Grivel
INTERACT
2003
13 years 10 months ago
Embedding Interactions in a Retail Store Environment: The Design and Lessons Learned
: We developed a steerable interface system that can direct graphical displays to any desirable locations, can capture interactions at any desirable locations, and can track user l...
Piyawadee Noi Sukaviriya, Mark Podlaseck, Rick Kje...
ECML
2007
Springer
14 years 2 months ago
Analyzing Co-training Style Algorithms
Co-training is a semi-supervised learning paradigm which trains two learners respectively from two different views and lets the learners label some unlabeled examples for each oth...
Wei Wang, Zhi-Hua Zhou
WMTE
2005
IEEE
14 years 2 months ago
Developing Interactive Logbook: A Personal Learning Environment
Many universities and further education colleges provide Virtual Learning Environments (VLEs). In recent years a new direction has been to extend these to support Personal Develop...
Tony Chan, Dan Corlett, Mike Sharples, Jeffrey Tin...