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» Kernel-based relation extraction from investigative data
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BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
14 years 4 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
ASPDAC
2008
ACM
130views Hardware» more  ASPDAC 2008»
13 years 12 months ago
Architecture-level thermal behavioral characterization for multi-core microprocessors
In this paper, we investigate a new architecture-level thermal characterization problem from behavioral modeling perspective to address the emerging thermal related analysis and o...
Duo Li, Sheldon X.-D. Tan, Murli Tirumala
DAWAK
2005
Springer
14 years 3 months ago
Processing Sequential Patterns in Relational Databases
Database integration of data mining has gained popularity and its significance is well recognized. However, the performance of SQL based data mining is known to fall behind specia...
Xuequn Shang, Kai-Uwe Sattler
EKAW
2008
Springer
13 years 11 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
ICDM
2008
IEEE
150views Data Mining» more  ICDM 2008»
14 years 4 months ago
Pseudolikelihood EM for Within-network Relational Learning
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
Rongjing Xiang, Jennifer Neville