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» Optimization on Support Vector Machines
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ICML
2003
IEEE
15 years 11 months ago
Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky
IJON
2010
148views more  IJON 2010»
14 years 7 months ago
Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machin
Several solutions have been proposed to exploit the availability of heterogeneous sources of biomolecular data for gene function prediction, but few attention has been dedicated t...
Matteo Re, Giorgio Valentini
ILP
2007
Springer
15 years 4 months ago
A Phase Transition-Based Perspective on Multiple Instance Kernels
: This paper is concerned with relational Support Vector Machines, at the intersection of Support Vector Machines (SVM) and relational learning or Inductive Logic Programming (ILP)...
Romaric Gaudel, Michèle Sebag, Antoine Corn...
HPCC
2007
Springer
15 years 4 months ago
Online Algorithms for Single Machine Schedulers to Support Advance Reservations from Grid Jobs
Advance Reservations(AR) make it possible to guarantee the QoS of Grid applications by reserving a particular resource capability over a defined time interval on local resources. H...
Bo Li, Dongfeng Zhao
LREC
2010
166views Education» more  LREC 2010»
14 years 11 months ago
Large Scale Multilingual Broadcast Data Collection to Support Machine Translation and Distillation Technology Development
The development of technologies to address machine translation and distillation of multilingual broadcast data depends heavily on the collection of large volumes of material from ...
Kevin Walker, Christopher Caruso, Denise DiPersio