662 search results - page 11 / 133 » Making inferences with small numbers of training sets |
CORR
2007
Springer
13 years 7 months ago
2007
Springer
— We use statistical estimates of the entropy rate of spike train data in order to make inferences about the underlying structure of the spike train itself. We first examine a n...
WACV
2005
IEEE
14 years 1 months ago
2005
IEEE
The construction of appearance-based object detection systems is time-consuming and difficult because a large number of training examples must be collected and manually labeled i...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
NIPS
2007
13 years 9 months ago
2007
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
ML
2000
ACM
13 years 7 months ago
2000
ACM
Existing methods for exploiting awed domain theories depend on the use of a su ciently large set of training examples for diagnosing and repairing aws in the theory. In this paper,...