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CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 7 months ago
A Markov Chain based method for generating long-range dependence
This paper describes a model for generating time series which exhibit the statistical phenomenon known as long-range dependence (LRD). A Markov Modulated Process based upon an inf...
Richard G. Clegg, Maurice Dodson
NIPS
2007
13 years 9 months ago
Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms
The peristimulus time histogram (PSTH) and its more continuous cousin, the spike density function (SDF) are staples in the analytic toolkit of neurophysiologists. The former is us...
Dominik Endres, Mike W. Oram, Johannes E. Schindel...
BMCBI
2008
114views more  BMCBI 2008»
13 years 7 months ago
A visual analytics approach for understanding biclustering results from microarray data
Background: Microarray analysis is an important area of bioinformatics. In the last few years, biclustering has become one of the most popular methods for classifying data from mi...
Rodrigo Santamaría, Roberto Therón, ...
IS
2002
13 years 7 months ago
Signature-based structures for objects with set-valued attributes
Aiming at the efficient retrieval of objects with set-valued attributes, we introduce three variations of a new method in order to satisfy subset and superset queries. Our approac...
Eleni Tousidou, Panayiotis Bozanis, Yannis Manolop...
ML
2002
ACM
220views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich