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PAMI
2006
127views more  PAMI 2006»
14 years 9 months ago
Incremental Nonlinear Dimensionality Reduction by Manifold Learning
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...
Martin H. C. Law, Anil K. Jain
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 3 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
SIGOPS
2010
89views more  SIGOPS 2010»
14 years 8 months ago
Incremental learning of system log formats
System logs come in a large and evolving variety of formats, many of which are semi-structured and/or non-standard. As a consequence, off-the-shelf tools for processing such logs ...
Kenny Qili Zhu, Kathleen Fisher, David Walker
AGENTS
2001
Springer
15 years 2 months ago
Incremental reinforcement learning for designing multi-agent systems
Olivier Buffet, Alain Dutech, François Char...