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» Semi-Supervised Dimensionality Reduction
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NPL
2002
145views more  NPL 2002»
14 years 11 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu
90
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MOC
2010
14 years 6 months ago
Multigrid in a weighted space arising from axisymmetric electromagnetics
Consider the space of two dimensional vector functions whose components and curl are square integrable with respect to the degenerate weight given by the radial variable. This spac...
Dylan M. Copeland, Jayadeep Gopalakrishnan, Minah ...
IEEEMM
2007
146views more  IEEEMM 2007»
14 years 12 months ago
Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis
— Microarray technology offers a high throughput means to study expression networks and gene regulatory networks in cells. The intrinsic nature of high dimensionality and small s...
Yijuan Lu, Qi Tian, Maribel Sanchez, Jennifer L. N...
ISCAS
2008
IEEE
136views Hardware» more  ISCAS 2008»
15 years 6 months ago
VLSI architecture for data-reduced steering matrix feedback in MIMO systems
Abstract— Beamforming (BF) for multiple-input multipleoutput (MIMO) wireless communications systems can improve the error rate performance by spatial separation of the transmitte...
Christoph Studer, Peter Luethi, Wolfgang Fichtner
CONTEXT
2007
Springer
15 years 6 months ago
Between Symbol and Language-in-use
Indexing is often designed with the intent of dimensional reduction, that is, of generating standardised and uniform descriptive metadata. This could be characterised as a process ...
Emma Tonkin