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ICPR
2000
IEEE
15 years 11 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
GMP
2008
IEEE
161views Solid Modeling» more  GMP 2008»
15 years 4 months ago
Slit Map: Conformal Parameterization for Multiply Connected Surfaces
Surface parameterization is a fundamental tool in geometric modeling and processing. Most existing methods deal with simply connected disks. This work introduces a novel method to ...
Xiaotian Yin, Junfei Dai, Shing-Tung Yau, Xianfeng...
BMCBI
2007
179views more  BMCBI 2007»
14 years 10 months ago
rMotifGen: random motif generator for DNA and protein sequences
Background: Detection of short, subtle conserved motif regions within a set of related DNA or amino acid sequences can lead to discoveries about important regulatory domains such ...
Eric C. Rouchka, C. Timothy Hardin
CMPB
2007
113views more  CMPB 2007»
14 years 9 months ago
Paternity analysis in Excel
Paternity analysis using microsatellite information is a well studied subject. These markers are ideal for parentage studies and fingerprinting, due to their high discrimination ...
Margarida Rocheta, F. Miguel Dionísio, Lu&i...
CP
2011
Springer
13 years 9 months ago
Hierarchically Nested Convex VCSP
We introduce tractable classes of VCSP instances based on convex cost functions. Firstly, we show that the class of VCSP instances satisfying the hierarchically nested convexity pr...
Martin C. Cooper, Stanislav Zivny