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» Using Prior Knowledge: Problems and Solutions
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PKDD
2000
Springer
116views Data Mining» more  PKDD 2000»
15 years 1 months ago
Prior Knowledge in Economic Applications of Data Mining
A common form of prior knowledge in economic modelling concerns the monotonicity of relations between the dependent and explanatory variables. Monotonicity may also be an important...
A. J. Feelders
GLOBECOM
2006
IEEE
15 years 3 months ago
A Novel Prior Knowledge Based ML Channel Estimator for Coherent IR-UWB Systems
Abstract— Channel estimation and synchronization are crucial problems in coherent Ultra wideband (UWB) systems. We develop a new channel estimation scheme that can further improv...
Lei Zhou, Shidong Zhou, Yan Yao
CIKM
2010
Springer
14 years 8 months ago
FacetCube: a framework of incorporating prior knowledge into non-negative tensor factorization
Non-negative tensor factorization (NTF) is a relatively new technique that has been successfully used to extract significant characteristics from polyadic data, such as data in s...
Yun Chi, Shenghuo Zhu
JAIR
2006
113views more  JAIR 2006»
14 years 9 months ago
Generative Prior Knowledge for Discriminative Classification
We present a novel framework for integrating prior knowledge into discriminative classifiers. Our framework allows discriminative classifiers such as Support Vector Machines (SVMs...
Arkady Epshteyn, Gerald DeJong
ICASSP
2008
IEEE
15 years 4 months ago
Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources
Independent component analysis (ICA) for convolutive mixtures is often applied in the frequency domain due to the desirable decoupling into independent instantaneous mixtures per ...
Graham W. Taylor, Michael L. Seltzer, Alex Acero