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FOCS
1990
IEEE
13 years 11 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
ML
2007
ACM
122views Machine Learning» more  ML 2007»
13 years 6 months ago
Status report: hot pickles, and how to serve them
The need for flexible forms of serialisation arises under many circumstances, e.g. for doing high-level inter-process communication or to achieve persistence. Many languages, inc...
Andreas Rossberg, Guido Tack, Leif Kornstaedt
ICSE
2003
IEEE-ACM
14 years 7 months ago
Separation in Theory - Coordination in Practice
The lack of a common language and mutual understanding between the disciplines of systems development/software engineering and HCI does create challenges for both teaching and pra...
Torkil Clemmensen, Jacob Nørbjerg
IJET
2007
99views more  IJET 2007»
13 years 7 months ago
Treating metadata as annotations: separating the content markup from the content
— The use of digital learning resources creates an increasing need for semantic metadata, describing the whole resource, as well as parts of resources. Traditionally, schemas suc...
Fredrik Paulsson, Jonas Engman
ICMI
2007
Springer
112views Biometrics» more  ICMI 2007»
14 years 1 months ago
How to distinguish posed from spontaneous smiles using geometric features
Automatic distinction between posed and spontaneous expressions is an unsolved problem. Previously cognitive sciences’ studies indicated that the automatic separation of posed f...
Michel François Valstar, Hatice Gunes, Maja...