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BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
15 years 1 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
CVPR
2007
IEEE
16 years 1 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
ASPDAC
2010
ACM
119views Hardware» more  ASPDAC 2010»
14 years 9 months ago
VISA: versatile impulse structure approximation for time-domain linear macromodeling
Abstract-- We develop a rational function macromodeling algorithm named VISA (Versatile Impulse Structure Approximation) for macromodeling of system responses with (discrete) time-...
Chi-Un Lei, Ngai Wong
VLDB
2002
ACM
116views Database» more  VLDB 2002»
14 years 11 months ago
Updates for Structure Indexes
The problem of indexing path queries in semistructured/XML databases has received considerable attention recently, and several proposals have advocated the use of structure indexe...
Raghav Kaushik, Philip Bohannon, Jeffrey F. Naught...
PAKDD
2005
ACM
96views Data Mining» more  PAKDD 2005»
15 years 4 months ago
Kernels over Relational Algebra Structures
Abstract. In this paper we present a novel and general framework based on concepts of relational algebra for kernel-based learning over relational schema. We exploit the notion of ...
Adam Woznica, Alexandros Kalousis, Melanie Hilario