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ICANN
2001
Springer
15 years 8 months ago
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
109
Voted
COLT
2008
Springer
15 years 5 months ago
Adaptive Hausdorff Estimation of Density Level Sets
Consider the problem of estimating the -level set G = {x : f(x) } of an unknown d-dimensional density function f based on n independent observations X1, . . . , Xn from the densi...
Aarti Singh, Robert Nowak, Clayton Scott
SAC
2009
ACM
15 years 8 months ago
Incremental board: a grid-based space for visualizing dynamic data sets
In Information Visualization, adding and removing data elements can strongly impact the underlying visual space. We introduce a chess board analogy for displaying (projecting) obj...
Roberto Pinho, Maria Cristina Ferreira de Oliveira...
JCST
2006
65views more  JCST 2006»
15 years 3 months ago
P-Tree Structures and Event Horizon: Efficient Event-Set Implementations
This paper describes efficient data structures, namely the Indexed P-tree, Block P-tree, and Indexed-Block P-tree (or IP-tree, BP-tree, and IBP-tree, respectively, for short), for...
Katerina Asdre, Stavros D. Nikolopoulos
BMCBI
2005
63views more  BMCBI 2005»
15 years 3 months ago
Individual sequences in large sets of gene sequences may be distinguished efficiently by combinations of shared sub-sequences
Background: Most current DNA diagnostic tests for identifying organisms use specific oligonucleotide probes that are complementary in sequence to, and hence only hybridise with th...
Mark J. Gibbs, John S. Armstrong, Adrian J. Gibbs