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» Missing values : processing with the Kohonen algorithm
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INCDM
2009
Springer
96views Data Mining» more  INCDM 2009»
15 years 6 months ago
Ordinal Evaluation: A New Perspective on Country Images
We present a novel use of ordinal evaluation (OrdEval) algorithm as a promising technique to study various marketing phenomena. OrdEval algorithm has originated in data mining and ...
Marko Robnik-Sikonja, Kris Brijs, Koen Vanhoof
ICASSP
2008
IEEE
15 years 6 months ago
Information theoretic bounds on neural prosthesis effectiveness: The importance of spike sorting
We compute the capacity of neural prostheses using a vector Poisson process model for the neural population channel. For single-electrode stimulation prostheses, the capacity is p...
Ilan N. Goodman, Don H. Johnson
SI3D
2010
ACM
15 years 7 months ago
Spatio-temporal upsampling on the GPU
Pixel processing is becoming increasingly expensive for real-time applications due to the complexity of today’s shaders and highresolution framebuffers. However, most shading re...
Robert Herzog, Elmar Eisemann, Karol Myszkowski, H...
UAI
1997
15 years 1 months ago
Update Rules for Parameter Estimation in Bayesian Networks
This paper re-examines the problem of parameter estimation in Bayesian networks with missing values and hidden variables from the perspective of recent work in on-line learning [1...
Eric Bauer, Daphne Koller, Yoram Singer
WWW
2005
ACM
16 years 29 days ago
PageRank as a function of the damping factor
PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor that spreads...
Paolo Boldi, Massimo Santini, Sebastiano Vigna