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» Learning to rank for information retrieval (LR4IR 2008)
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WWW
2005
ACM
16 years 6 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...
SIGIR
2005
ACM
15 years 11 months ago
Linear discriminant model for information retrieval
This paper presents a new discriminative model for information retrieval (IR), referred to as linear discriminant model (LDM), which provides a flexible framework to incorporate a...
Jianfeng Gao, Haoliang Qi, Xinsong Xia, Jian-Yun N...
BIRTHDAY
2004
Springer
15 years 11 months ago
Psychologische Theorien sind Information-Retrieval-Verfahren
Psychological models of learning, forgetting, and memory processes are presented. These models describe human information processing as the formation and retrieval of associations...
Manfred Wettler
WWW
2009
ACM
16 years 6 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
IVC
2007
97views more  IVC 2007»
15 years 5 months ago
Stochastic exploration and active learning for image retrieval
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
Matthieu Cord, Philippe Henri Gosselin, Sylvie Phi...