295 search results - page 14 / 59 » A framework for quantitative security analysis of machine le... |
CLUSTER
2009
IEEE
14 years 2 months ago
2009
IEEE
—Current leadership-class machines suffer from a significant imbalance between their computational power and their I/O bandwidth. While Moore’s law ensures that the computatio...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
ICML
1997
IEEE
14 years 8 months ago
1997
IEEE
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
TYPES
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Most approaches to the formal analysis of cryptography protocols make the perfect cryptographic assumption, which entails for example that there is no way to obtain knowl...
NIPS
2003
13 years 9 months ago
2003
Most machine learning researchers perform quantitative experiments to estimate generalization error and compare algorithm performances. In order to draw statistically convincing c...