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ICDE
2005
IEEE
133views Database» more  ICDE 2005»
16 years 8 months ago
Efficient Inverted Lists and Query Algorithms for Structured Value Ranking in Update-Intensive Relational Databases
We propose a new ranking paradigm for relational databases called Structured Value Ranking (SVR). SVR uses structured data values to score (rank) the results of keyword search que...
Lin Guo, Jayavel Shanmugasundaram, Kevin S. Beyer,...
ICML
1995
IEEE
16 years 7 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
VMCAI
2010
Springer
16 years 3 months ago
Shape Analysis of Low-Level C with Overlapping Structures
Abstract. Device drivers often keep data in multiple data structures simultaneously while embedding list or tree related records into the records containing the actual data; this r...
Jörg Kreiker, Helmut Seidl, Vesal Vojdani
FAW
2008
Springer
225views Algorithms» more  FAW 2008»
15 years 8 months ago
Versioning Tree Structures by Path-Merging
We propose path-merging as a refinement of techniques used to make linked data structures partially persistent. Path-merging supports bursts of operations between any two adjacent ...
Khaireel A. Mohamed, Tobias Langner, Thomas Ottman...
EMNLP
2007
15 years 8 months ago
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
Jun Suzuki, Akinori Fujino, Hideki Isozaki