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» Evaluating algorithms that learn from data streams
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CIKM
2009
Springer
16 years 1 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
CIA
2004
Springer
16 years 4 days ago
Qualitative Analysis of User-Based and Item-Based Prediction Algorithms for Recommendation Agents
Recommendation agents employ prediction algorithms to provide users with items that match their interests. In this paper, several prediction algorithms are described and evaluated...
Manos Papagelis, Dimitris Plexousakis
INFOCOM
2002
IEEE
15 years 11 months ago
A Congestion Control Algorithm for Tree-based Reliable Multicast Protocols
— This paper contains a detailed description of the congestion control algorithm of TRAM, a tree-based reliable multicast protocol. This algorithm takes advantage of regular ackn...
Dah-Ming Chiu, Miriam Kadansky, Joe Provino, Josep...
CVPR
2011
IEEE
14 years 10 months ago
Multi-label Learning with Incomplete Class Assignments
We consider a special type of multi-label learning where class assignments of training examples are incomplete. As an example, an instance whose true class assignment is (c1, c2, ...
Serhat Bucak, Rong Jin, Anil Jain
EVOW
2008
Springer
15 years 8 months ago
Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control
In many cases what matters is not whether a false discovery is made or not but the expected proportion of false discoveries among all the discoveries made, i.e. the so-called false...
Jose M. Peña