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» On Information Regularization
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IJCAI
1997
15 years 1 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
DEBU
2008
118views more  DEBU 2008»
14 years 12 months ago
Big, Fast XQuery: Enabling Content Applications
Increasingly, companies recognize that most of their important information does not exist in relational stores but in documents. For a long time, textual information has been rela...
Mary Holstege
IDA
2008
Springer
14 years 12 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
ARTMED
2005
109views more  ARTMED 2005»
14 years 11 months ago
Customization in a unified framework for summarizing medical literature
Objectives: We present the summarization system in the PERSIVAL medical digital library. Although we discuss the context of our summarization research within the PERSIVAL platform...
Noemie Elhadad, Min-Yen Kan, Judith L. Klavans, Ka...
SAC
2008
ACM
14 years 11 months ago
Aggregation languages for moving object and places of interest
We address aggregate queries over GIS data and moving object data, where non-spatial information is stored in a data warehouse. We propose a formal data model and query language t...
Leticia I. Gómez, Bart Kuijpers, Alejandro ...