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» A Functional Model for Data Analysis
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CSDA
2008
80views more  CSDA 2008»
14 years 9 months ago
Variational Bayesian functional PCA
A Bayesian approach to analyze the modes of variation in a set of curves is suggested. It is based on a generative model thus allowing for noisy and sparse observations of curves....
Angelika van der Linde
WSC
2004
14 years 11 months ago
Functional Analysis for Operating Emergency Department of a General Hospital
An entire emergency department of a general hospital is simulated to examine patient flows. First, times needed for both outpatients and patients arriving via ambulance to be proc...
Soemon Takakuwa, Hiroko Shiozaki
SODA
2008
ACM
110views Algorithms» more  SODA 2008»
14 years 11 months ago
Why simple hash functions work: exploiting the entropy in a data stream
Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
Michael Mitzenmacher, Salil P. Vadhan
ICONIP
2009
14 years 7 months ago
Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors
Adaptation is a hallmark of sensory processing. We studied neural adaptation in intracellular voltage responses of the R1-R6 photoreceptors, of the fruit fly Drosophila, subjected ...
Uwe Friederich, Daniel Coca, Stephen A. Billings, ...
ICML
2005
IEEE
15 years 10 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore