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EOR
2006
73views more  EOR 2006»
8 years 12 months ago
Path relinking and GRG for artificial neural networks
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...
Abdellah El-Fallahi, Rafael Martí, Leon S. ...
CE
2006
82views more  CE 2006»
9 years 1 days ago
Audio-visual training in children with reading disabilities
This study tested the effectiveness of audio-visual training in the discrimination of the phonetic feature of voicing on the recognition of written words by young children deemed ...
Annie Magnan, Jean Ecalle
BMCBI
2008
115views more  BMCBI 2008»
9 years 3 days ago
Improving peptide-MHC class I binding prediction for unbalanced datasets
Background: Establishment of peptide binding to Major Histocompatibility Complex class I (MHCI) is a crucial step in the development of subunit vaccines and prediction of such bin...
Ana Paula Sales, Georgia D. Tomaras, Thomas B. Kep...
ICASSP
2010
IEEE
9 years 5 days ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
ICASSP
2010
IEEE
9 years 5 days ago
The effect of lattice pruning on MMIE training
In discriminative training, such as Maximum Mutual Information Estimation (MMIE) training, a word lattice is usually used as a compact representation of many different sentence hy...
Long Qin, Alexander I. Rudnicky
NIPS
1996
9 years 1 months ago
Early Stopping-But When?
Abstract. Validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the over ttin...
Lutz Prechelt
ECTEL
2008
Springer
9 years 1 months ago
Self-Explaining Agents in Virtual Training
Abstract. Virtual training systems are increasingly used for the training of complex, dynamic tasks. To give trainees the opportunity to train autonomously, intelligent agents are ...
Maaike Harbers
SIGUCCS
2000
ACM
9 years 3 months ago
Developing and Implementing a Comprehensive Training and Incentive Program for Student Employees in Information Technology
Anyone who works with student employees knows that while it is often difficult to train sufficiently, it is of the utmost importance to have a qualified, knowledgeable staff. We w...
Jim Osborn
ATAL
2006
Springer
9 years 3 months ago
Using multiagent teams to improve the training of incident commanders
The DEFACTO system is a multiagent based tool for training incident commanders for large scale disasters. In this paper, we highlight some of the lessons that we have learned from...
Nathan Schurr, Pratik Patil, Frederic H. Pighin, M...
SIGUCCS
2000
ACM
9 years 4 months ago
Training... A Key to Better Help Desk Consultants
The quality of student consultants and their development through training and education are major factors in determining long-term effectiveness of university Help Desk. To hire a...
Anna Maria Perez, Andrea J. Moore
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