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VLDB
2005
ACM
93views Database» more  VLDB 2005»
15 years 6 months ago
Revisiting Pipelined Parallelism in Multi-Join Query Processing
Multi-join queries are the core of any integration service that integrates data from multiple distributed data sources. Due to the large number of data sources and possibly high v...
Bin Liu, Elke A. Rundensteiner
151
Voted
ECAI
2004
Springer
15 years 6 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
136
Voted
PARA
2004
Springer
15 years 6 months ago
Parallel Discrete Event Simulations of Grid-Based Models: Asynchronous Electromagnetic Hybrid Code
Abstract. The traditional technique to simulate physical systems modeled by partial differential equations is by means of a time-stepped methodology where the state of the system ...
Homa Karimabadi, Jonathan Driscoll, Jagrut Dave, Y...
110
Voted
CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
15 years 3 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
122
Voted
ACL
2006
15 years 2 months ago
Modeling Commonality among Related Classes in Relation Extraction
This paper proposes a novel hierarchical learning strategy to deal with the data sparseness problem in relation extraction by modeling the commonality among related classes. For e...
Guodong Zhou, Jian Su, Min Zhang