10054 search results - page 79 / 2011 » On the Complexity of Function Learning |
96
Voted
CIE
2007
Springer
15 years 6 months ago
2007
Springer
In the standard model of inductive inference, a learner gets as input the graph of a function, and has to discover (in the limit) a program for the function. In this paper, we cons...
COLT
2006
Springer
15 years 4 months ago
2006
Springer
Bounds are given for the empirical and expected Rademacher complexity of classes of linear transformations from a Hilbert space H to a ...nite dimensional space. The results imply ...
151
Voted
COMPLEXITY
2011
14 years 7 months ago
2011
114
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
110
Voted
IJKSR
2011
14 years 3 months ago
2011
Learning management systems are routinely used for presenting, solving and grading exercises with large classes. However, teachers are constrained to use questions with pre-defined...