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SIGIR
2008
ACM
14 years 9 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
BMCBI
2010
259views more  BMCBI 2010»
14 years 4 months ago
Rule-based spatial modeling with diffusing, geometrically constrained molecules
Background: We suggest a new type of modeling approach for the coarse grained, particle-based spatial simulation of combinatorially complex chemical reaction systems. In our appro...
Gerd Gruenert, Bashar Ibrahim, Thorsten Lenser, Ma...
FDL
2005
IEEE
15 years 3 months ago
Mixing Synchronous Reactive and Untimed Models of Computation
The support of heterogeneity at the specification level, that is, the ability to mix several models of computation (MoCs) in the system-level specification, is becoming increasing...
Fernando Herrera, Eugenio Villar
VLDB
2004
ACM
99views Database» more  VLDB 2004»
15 years 3 months ago
Query Languages and Data Models for Database Sequences and Data Streams
We study the fundamental limitations of relational algebra (RA) and SQL in supporting sequence and stream queries, and present effective query language and data model enrichments ...
Yan-Nei Law, Haixun Wang, Carlo Zaniolo
ATAL
2008
Springer
14 years 11 months ago
A statistical relational model for trust learning
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
Achim Rettinger, Matthias Nickles, Volker Tresp