ETRICS
2006
13 years 8 months ago
2006
Recommender systems are widely used to help deal with the problem of information overload. However, recommenders raise serious privacy and security issues. The personal information...
ECAI
2004
Springer
13 years 8 months ago
2004
Springer
A central issue in relational learning is the choice of an appropriate bias for limiting first-order induction. The purpose of this study is to circumvent this issue within a unifo...
CANDT
2009
13 years 8 months ago
2009
Self-focus is a novel way of understanding a type of bias in community-maintained Web 2.0 graph structures. It goes beyond previous measures of topical coverage bias by encapsulat...
DIS
1998
Springer
13 years 8 months ago
1998
Springer
We introduce a new bias for rule learning systems. The bias only allows a rule learner to create a rule that predicts class membership if each test of the rule in isolation is pred...
IMC
2006
ACM
13 years 10 months ago
2006
ACM
This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-p...
INFOCOM
2006
IEEE
13 years 10 months ago
2006
IEEE
— Peer-to-peer systems are becoming increasingly popular, with millions of simultaneous users and a wide range of applications. Understanding existing systems and devising new pe...
SIGIR
2009
ACM
13 years 11 months ago
2009
ACM
Information retrieval systems are evaluated against test collections of topics, documents, and assessments of which documents are relevant to which topics. Documents are chosen fo...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
Maximum likelihood (ML) estimation is widely used in many computer vision problems involving the estimation of geometric parameters, from conic fitting to bundle adjustment for s...