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» Learning from Highly Structured Data by Decomposition
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KDD
2008
ACM
183views Data Mining» more  KDD 2008»
15 years 10 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
HIPS
1998
IEEE
15 years 2 months ago
A Graph-Based Framework for the Definition of Tools Dealing with Sparse and Irregular Distributed Data Structures
Industrial applications use specific problem-oriented implementations of large sparse and irregular data structures. Hence there is a need for tools that make it possible for deve...
Jean-Michel Lépine, Serge Chaumette, Frank ...
BMCBI
2006
130views more  BMCBI 2006»
14 years 10 months ago
Laboratory Information Management Software for genotyping workflows: applications in high throughput crop genotyping
Background: With the advances in DNA sequencer-based technologies, it has become possible to automate several steps of the genotyping process leading to increased throughput. To e...
B. Jayashree, Praveen T. Reddy, Y. Leeladevi, Jona...
ISCA
1993
IEEE
137views Hardware» more  ISCA 1993»
15 years 2 months ago
Transactional Memory: Architectural Support for Lock-Free Data Structures
A shared data structure is lock-free if its operations do not require mutual exclusion. If one process is interrupted in the middle of an operation, other processes will not be pr...
Maurice Herlihy, J. Eliot B. Moss
ACL
2006
14 years 11 months ago
Robust Word Sense Translation by EM Learning of Frame Semantics
We propose a robust method of automatically constructing a bilingual word sense dictionary from readily available monolingual ontologies by using estimation-maximization, without ...
Pascale Fung, Benfeng Chen