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» Feature Generation Using General Constructor Functions
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BMCBI
2005
98views more  BMCBI 2005»
15 years 2 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 2 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
ICFP
2006
ACM
16 years 2 months ago
Type-theoretic design patterns
The development of design patterns in object-oriented programming aims at capturing good software design in a re-usable generic form. However, design patterns are not expressible ...
Ondrej Rypacek, Roland Carl Backhouse, Henrik Nils...
MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 7 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
113
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SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
16 years 2 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang