543 search results - page 95 / 109 » A PAC-Style Model for Learning from Labeled and Unlabeled Da... |
MM
2004
ACM
14 years 1 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
AIRS
2010
Springer
13 years 5 months ago
2010
Springer
Machine learning algorithms in various forms are now increasingly being used on a variety of portable devices, starting from cell phones to PDAs. They often form a part of standard...
LREC
2010
13 years 9 months ago
2010
Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
SIGIR
2004
ACM
14 years 1 months ago
2004
ACM
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...