876 search results - page 37 / 176 » A theory of learning with similarity functions |
ICML
2004
IEEE
16 years 17 days ago
2004
IEEE
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
116
click to vote
MYCRYPT
2005
Springer
15 years 5 months ago
2005
Springer
Recently, some collisions have been exposed for a variety of cryptographic hash functions [20,21] including some of the most widely used today. Many other hash functions using simi...
120
click to vote
ICFP
2012
ACM
13 years 2 months ago
2012
ACM
Programming with dependent types is a blessing and a curse. It is a blessing to be able to bake invariants into the definition of datatypes: we can finally write correct-by-cons...
194
click to vote
COMPGEOM
2011
ACM
14 years 3 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
ALDT
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Several schemes have been proposed for compactly representing multiattribute utility functions, yet none seems to achieve the level of success achieved by Bayesian and Ma...