329 search results - page 37 / 66 » Probably Approximately Correct Learning |
IJCAI
1993
13 years 9 months ago
1993
One of the open problems listed in Rivest and Schapire, 1989] is whether and how that the copies of L in their algorithm can be combined into one for better performance. This pape...
SODA
2001
ACM
13 years 9 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
AAAI
2011
12 years 7 months ago
2011
When mobile robots perform tasks in environments with humans, it seems appropriate for the robots to rely on such humans for help instead of dedicated human oracles or supervisors...
ICML
2010
IEEE
13 years 8 months ago
2010
IEEE
Local Coordinate Coding (LCC), introduced in (Yu et al., 2009), is a high dimensional nonlinear learning method that explicitly takes advantage of the geometric structure of the d...
UAI
1996
13 years 9 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...