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» SVM Based Learning System for Information Extraction
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KI
2008
Springer
15 years 6 months ago
Autonomous Learning of User's Preferences Improved through User Feedback
Ambient Intelligent (AmI) environments are supposed to act proactively anticipating the user's needs and preferences, therefore the capability of an AmI system to learn those ...
Asier Aztiria, Juan Carlos Augusto, Alberto Izagui...
KDD
2010
ACM
252views Data Mining» more  KDD 2010»
15 years 10 months ago
Fast query execution for retrieval models based on path-constrained random walks
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
Ni Lao, William W. Cohen
AAAI
1996
15 years 7 months ago
Machine Learning of User Profiles: Representational Issues
As more information becomes available electronically, tools for finding information of interest to users becomes increasingly important. The goal of the research described here is...
Eric Bloedorn, Inderjeet Mani, T. Richard MacMilla...
KDD
2005
ACM
139views Data Mining» more  KDD 2005»
15 years 11 months ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
ICMCS
2005
IEEE
184views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
Kim-Hui Yap, Kui Wu