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ML
2000
ACM
103views Machine Learning» more  ML 2000»
15 years 4 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir
ICRA
2000
IEEE
141views Robotics» more  ICRA 2000»
15 years 8 months ago
An Analytical Method to Eliminate the Redundant Parameters in Robot Calibration
Model based error compensation of a robotic manipulator, also known as robot calibration, requires the identification of its generalized errors. These errors are found from measur...
Marco A. Meggiolaro, Steven Dubowsky
IPMU
2010
Springer
15 years 6 months ago
The Link Prediction Problem in Bipartite Networks
We define and study the link prediction problem in bipartite networks, specializing general link prediction algorithms to the bipartite case. In a graph, a link prediction functio...
Jérôme Kunegis, Ernesto William De Lu...
CSL
2007
Springer
15 years 4 months ago
Modeling durations of syllables using neural networks
In this paper, we propose a neural network model for predicting the durations of syllables. A four layer feedforward neural network trained with backpropagation algorithm is used ...
K. Sreenivasa Rao, B. Yegnanarayana
BIBE
2008
IEEE
126views Bioinformatics» more  BIBE 2008»
15 years 11 months ago
Polyadenylation site prediction using interesting emerging patterns
—This paper presents a study on polyadenylation site prediction in mRNA sequences. We describe a method, called PolyA-EP, that we developed for predicting polyadenylation sites a...
George Tzanis, I. Kavakiotis, Ioannis P. Vlahavas