"Just as machine learning algorithms can overfit by tuning a classifier’s parameters to the
accidental properties of a training set, a research community can overfit by refining algorithms that
have already done well on the existing data sets"
Lewis, D. D.; Yang, Y.; Rose, T.; and Li, F. RCV1: A New Benchmark Collection for Text Categorization Research. Journal of Machine Learning Research, 5:361-397, 2004. http://www.jmlr.org/papers/volume5/lewis04a/lewis04a.pdf
Wednesday, August 28, 2013
Subscribe to:
Posts (Atom)
AI
Despite the benefits of AI we are starving for humanity.
-
It is difficult to create robot that cleans our arbitrary dirty dishes. However , if we put some digital information on dishes (special des...
-
Our parents were arranging their schedule according to sunrise and sunset. They are still consistent in their habit. However, in our generat...
-
Robot Particles Display: Current display devices can show any image for a very cheap price. But it will be very intresting if someone tr...