Sciweavers

163 search results - page 2 / 33
» Automatic Parameter Learning for Multiple Network Alignment
Sort
View
ML
2002
ACM
121views Machine Learning» more  ML 2002»
13 years 5 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
ICASSP
2010
IEEE
13 years 4 months ago
Multiple sequence alignment based bootstrapping for improved incremental word learning
We investigate incremental word learning with few training examples in a Hidden Markov Model (HMM) framework suitable for an interactive learning scenario with little prior knowle...
Irene Ayllól Clemente, Martin Heckmann, Ger...
RECOMB
2009
Springer
14 years 6 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
ICPR
2004
IEEE
14 years 6 months ago
Alignment of Multiple Non-Overlapping Axially Symmetric 3D Datasets
Uknown to us, an axially-symmetric surface is broken into disjoint pieces along a set of break-curves, i.e., the curves along which the surface locally breaks into two pieces. A s...
Andrew R. Willis, David B. Cooper
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah