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CIBCB
2007
IEEE
15 years 10 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao
SAC
2008
ACM
15 years 6 months ago
Efficient concept clustering for ontology learning using an event life cycle on the web
Ontology learning integrates many complementary techniques, including machine learning, natural language processing, and data mining. Specifically, clustering techniques facilitat...
Sangsoo Sung, Seokkyung Chung, Dennis McLeod
VIP
2003
15 years 8 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ICFP
2005
ACM
16 years 6 months ago
High-level views on low-level representations
This paper explains how the high-level treatment of datatypes in functional languages--using features like constructor functions and pattern matching--can be made to coexist with ...
Iavor S. Diatchki, Mark P. Jones, Rebekah Leslie
OOPSLA
2005
Springer
16 years 7 days ago
A delta-driven execution model for semantic computing
We describe (and demonstrate) the execution model of a computing platform where computation is both incremental and data-driven. We call such an approach delta-driven. The platfor...
Roly Perera, Jeff Foster, György Koch