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ICCBR
1997
Springer
14 years 19 days ago
Examining Locally Varying Weights for Nearest Neighbor Algorithms
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
Nicholas Howe, Claire Cardie
GLVLSI
2000
IEEE
116views VLSI» more  GLVLSI 2000»
14 years 27 days ago
Reducing bus transition activity by limited weight coding with codeword slimming
Transitions on high capacitance busses in VLSI systems result in considerable power dissipation. Various coding schemes have been proposed in literature to encode the input signal...
Vijay Sundararajan, Keshab K. Parhi
GLOBECOM
2010
IEEE
13 years 6 months ago
Novel Robust Blind Equalizer for QAM Signals Using Iterative Weighted-Least-Mean-Square Algorithm
In this paper, we propose a novel blind equalizer which can deal with high-order modulated QAM (quadrature amplitude modulation) signals. This new scheme is based on the signal sel...
Kun Yan, Hsiao-Chun Wu, Dongxin Xu, S. S. Iyengar
ESANN
2001
13 years 9 months ago
Weight initialization methods for multilayer feedforward
In this paper, we present the results of an experimental comparison among seven different weight initialization methods in twelve different problems. The comparison is performed by...
Mercedes Fernández-Redondo, Carlos Hern&aac...
VTS
2002
IEEE
120views Hardware» more  VTS 2002»
14 years 1 months ago
Software-Based Weighted Random Testing for IP Cores in Bus-Based Programmable SoCs
We present a software-based weighted random pattern scheme for testing delay faults in IP cores of programmable SoCs. We describe a method for determining static and transition pr...
Madhu K. Iyer, Kwang-Ting Cheng