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» Training Methods for Adaptive Boosting of Neural Networks
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BMCBI
2008
153views more  BMCBI 2008»
14 years 9 months ago
Improved general regression network for protein domain boundary prediction
Background: Protein domains present some of the most useful information that can be used to understand protein structure and functions. Recent research on protein domain boundary ...
Paul D. Yoo, Abdur R. Sikder, Bing Bing Zhou, Albe...
89
Voted
ICRA
2003
IEEE
108views Robotics» more  ICRA 2003»
15 years 2 months ago
On-line safe path planning in unknown environments
s - For the on-line safe path planning of a mobile robot in unknown environments, the paper proposes a simple Hopfield Neural Network ( HNN ) planner. Without learning process, the...
Weidong Chen, Changhong Fan, Yugeng Xi
IJON
2002
105views more  IJON 2002»
14 years 9 months ago
Separation of sources using simulated annealing and competitive learning
This paper presents a new adaptive procedure for the linear and non-linear separation of signals with non-uniform, symmetrical probability distributions, based on both simulated a...
Carlos García Puntonet, Ali Mansour, Christ...
NN
1998
Springer
14 years 9 months ago
A tennis serve and upswing learning robot based on bi-directional theory
We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
Hiroyuki Miyamoto, Mitsuo Kawato
ICIAR
2005
Springer
15 years 3 months ago
Text-Pose Estimation in 3D Using Edge-Direction Distributions
Abstract. This paper presents a method for estimating the orientation of planar text surfaces using the edge-direction distribution (EDD) extracted from the image as input to a neu...
Marius Bulacu, Lambert Schomaker