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IJCNN
2007
IEEE
15 years 10 months ago
TRUST-TECH Based Neural Network Training
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
Hsiao-Dong Chiang, Chandan K. Reddy
SEMCO
2007
IEEE
15 years 10 months ago
Large-Margin Discriminative Training of Hidden Markov Models for Speech Recognition
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Dong Yu, Li Deng
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 10 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
AINA
2006
IEEE
15 years 10 months ago
Autonomic Trust Prediction for Pervasive Systems
Pervasive computing is becoming a reality, thanks to advances in wireless networking and increased popularity of portable devices. Users of these devices will need support to deci...
Licia Capra, Mirco Musolesi
IROS
2006
IEEE
111views Robotics» more  IROS 2006»
15 years 10 months ago
A Combined Monte-Carlo Localization and Tracking Algorithm for RoboCup
— Self-localization is a major research task in mobile robotics for several years. Efficient self-localization methods have been developed, among which probabilistic Monte-Carlo...
Patrick Heinemann, Jürgen Haase, Andreas Zell