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ICANN
2009
Springer
14 years 5 days ago
An EM Based Training Algorithm for Recurrent Neural Networks
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
Jan Unkelbach, Yi Sun, Jürgen Schmidhuber
ICRA
2010
IEEE
148views Robotics» more  ICRA 2010»
13 years 6 months ago
Body schema acquisition through active learning
— We present an active learning algorithm for the problem of body schema learning, i.e. estimating a kinematic model of a serial robot. The learning process is done online using ...
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesan...
CSB
2004
IEEE
131views Bioinformatics» more  CSB 2004»
13 years 11 months ago
Improved Fourier Transform Method for Unsupervised Cell-Cycle Regulated Gene Prediction
Motivation: Cell-cycle regulated gene prediction using microarray time-course measurements of the mRNA expression levels of genes has been used by several researchers. The popular...
Karuturi R. Krishna Murthy, Liu Jian Hua
DAGM
2007
Springer
13 years 11 months ago
Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination
Abstract In this paper we extend a multi-camera model for simultaneous estimation of 3d position, normals, and 3d motion of surface patches [17] to be able to handle brightness cha...
Tobias Schuchert, Hanno Scharr
PROMISE
2010
13 years 2 months ago
Modeling the relationship between software effort and size using deming regression
Background: The relation between software effort and size has been modeled in literature as exponential, in the sense that the natural logarithm of effort is expressed as a linear...
Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Arg...