Parameter estimation for text analysis Gregor Heinrich Parameter estimation for text analysis Gregor Heinrich Parameter estimation for text analysis Gregor Heinrich Parameter estimation for text analysis Gregor Heinrich Parameter estimation for text
Covariance estimation for high dimensional vectors is a classically difcult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood (ML) approach to covariance estimation, which employs a novel sparsity
Firstly, this paper mention what is the testing challenges being addressed in project of adopting integration or Iteration cycle development. Secondly, by analyzing data from history project to get the comparison of the difference between the Automa
Abstract—Frequency-domain equalization (FDE) is an effective technique for high-rate wireless communications because of its reduced complexity compared to conventional time-domain equalization (TDE). In this paper, we consider adaptive FDE for singl
Abstract-In order to estimate the speed fluctuation band of interior permanent magnet synchronous motor (IPMSM) under speed sensorless control with cyclic fluctuating load accurately, an improved rotor speed estimation method is proposed. A rotor fl
A fast, model-independent method for cerebral cortical thickness estimation using MRIA fast, model-independent method for cerebral cortical thickness estimation using MRI
